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Improve unittest code coverage for SAIntegrator library. #1081
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@ -27,15 +27,9 @@ void calc_derivs( double t, double state[], double derivs[], void* udata) {
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double impact( double t, double state[], RootFinder* root_finder, void* udata) {
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double root_error = root_finder->find_roots(t, state[1]);
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if (root_error == 0.0) {
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printf("---------------------------------------------------------------\n");
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printf("Impact at t = %5.10f x = %5.10f y = %5.10f.\n", t, state[0], state[1]);
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printf("---------------------------------------------------------------\n");
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root_finder->init();
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state[1] = 0.0000000001; // pos_y
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state[2] = 0.0; // vel_x
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state[3] = 0.0; // vel_y
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state[4] = 0.0; // acc_x
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state[5] = 0.0; // acc_y
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state[2] = 0.9 * state[2];
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state[3] = -0.9 * state[3];
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}
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return (root_error);
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}
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@ -55,17 +49,14 @@ int main ( int argc, char* argv[]) {
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double t = 0.0;
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SA::RK2Integrator integ(dt, 6, state_var_p, state_var_p, calc_derivs, NULL);
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// Uncomment the following two lines to have the RootFinder detect impact.
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// RootFinder root_finder(0.00000000001, Negative);
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// integ.add_Rootfinder(&root_finder, &impact);
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RootFinder root_finder(0.00000000001, Negative);
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integ.add_Rootfinder(&root_finder, &impact);
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init_state(cannon);
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print_header();
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print_state( t, cannon);
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while (t < 5.3) {
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integ.load();
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integ.step();
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integ.unload();
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while (t < 20.0) {
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integ.integrate();
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t = integ.getIndyVar();
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print_state( t, cannon);
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}
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@ -23,9 +23,7 @@ void deriv_x( double x, double state_x[], double derivs_x[], void* udata) {
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integ_y->set_out_vars(state_y);
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integ_y->setIndyVar(context->start);
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while (integ_y->getIndyVar() <= context->end) {
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integ_y->load();
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integ_y->step();
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integ_y->unload();
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integ_y->integrate();
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}
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derivs_x[0] = area; // volume = ∫ area dx
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}
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@ -40,9 +38,7 @@ double doubleIntegral( double x_start, double x_end, double y_start, double y_en
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SA::RK2Integrator integ_x (dx, 1, state_x, state_x, deriv_x, &y_integ_context);
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integ_x.setIndyVar(x_start);
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while (integ_x.getIndyVar()<=x_end) {
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integ_x.load();
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integ_x.step();
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integ_x.unload();
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integ_x.integrate();
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}
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return volume;
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}
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@ -7,12 +7,15 @@ namespace SA {
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double X_out; // Independent Variable Out
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double default_h; // Default step-size
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void* user_data; // User data
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void advanceIndyVar();
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public:
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Integrator(double h, void* udata): X_in(0.0), X_out(0.0), default_h(h), user_data(udata) {};
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virtual ~Integrator() {}
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virtual void step();
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virtual void load();
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virtual void unload();
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virtual void step();
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void integrate();
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virtual double undo_integrate();
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double getIndyVar();
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void setIndyVar(double v);
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};
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@ -27,30 +30,47 @@ namespace SA {
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double** inVars; // Array of pointers to the variables whose values comprise the input state vector.
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double** outVars; // Array of pointers to the variables to which the output state vector values are to be disseminated.
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DerivsFunc derivs_func; // Pointer to the function that calculates the derivatives to be integrated.
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double last_h; // What was the last step-size? For undo_step().
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// void advanceIndyVar(); // Inherited from Integrator::advanceIndyVar()
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public:
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FirstOrderODEIntegrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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virtual ~FirstOrderODEIntegrator();
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virtual double undo_step();
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void load();
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void unload();
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void load_from_outState();
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double** set_in_vars( double* in_vars[]);
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double** set_out_vars( double* out_vars[]);
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void load(); // Overrides Integrator::load(), Final
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void unload(); // Overrides Integrator::unload(), Final
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virtual void step(); // Overrides Integrator::step(). Virtual
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// integrate(); Inherited from Integrator::integrate(), Final
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virtual double undo_integrate(); // Overrides Integrator::undo_integrate(), Virtual
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void load_from_outState(); // New, Final
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double** set_in_vars( double* in_vars[]); // New, Final
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double** set_out_vars( double* out_vars[]);// New, Final
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// double getIndyVar();
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// void setIndyVar(double v);
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};
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typedef double (*RootErrorFunc)( double x, double state[], RootFinder* root_finder, void* udata);
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class FirstOrderODEVariableStepIntegrator : public FirstOrderODEIntegrator {
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private:
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RootFinder* root_finder;
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RootErrorFunc root_error_func;
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protected:
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double last_h;
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// void advanceIndyVar(); // Inherited from Integrator::advanceIndyVar(), Final
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void advanceIndyVar( double h);
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public:
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FirstOrderODEVariableStepIntegrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~FirstOrderODEVariableStepIntegrator();
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virtual void variable_step( double h);
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void add_Rootfinder( RootFinder* root_finder, RootErrorFunc rfunc);
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void step();
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// load(); Inherited from FirstOrderODEIntegrator, Final
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// unload(); Inherited from FirstOrderODEIntegrator, Final
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void step(); // Overrides FirstOrderODEIntegrator::step(), Final
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// integrate(); // Inherited from Integrator
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double undo_integrate(); // Overrides FirstOrderODEIntegrator::undo_integrate(), Final
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// load_from_outState(); // Inherited from FirstOrderODEIntegrator, Final
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// set_in_vars(); // Inherited from FirstOrderODEIntegrator, Final
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// set_out_vars(); // Inherited from FirstOrderODEIntegrator, Final
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virtual void variable_step( double h); // New, Should be overridden in derived classes, Virtual
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void add_Rootfinder( RootFinder* root_finder, RootErrorFunc rfunc); // New, Final
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// double getIndyVar(); // Inherited from Integrator
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// void setIndyVar(double v); // Inherited from Integrator
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private:
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void find_roots(double h, unsigned int depth);
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};
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@ -60,7 +80,19 @@ namespace SA {
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double *derivs;
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EulerIntegrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~EulerIntegrator();
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void variable_step( double h);
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// load(); Inherited from FirstOrderODEIntegrator
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// unload(); Inherited from FirstOrderODEIntegrator
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// void step(); Inherited from FirstOrderODEVariableStepIntegrator
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// void integrate() Inherited from FirstOrderODEVariableStepIntegrator
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// double undo_integrate(); Inherited from FirstOrderODEVariableStepIntegrator
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// load_from_outState(); Inherited from FirstOrderODEIntegrator
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// set_in_vars(); Inherited from FirstOrderODEIntegrator
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// set_out_vars(); Inherited from FirstOrderODEIntegrator
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void variable_step( double h); // Overrides FirstOrderODEVariableStepIntegrator::variable_step()
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// void integrate(double h) Inherited from FirstOrderODEVariableStepIntegrator
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// void add_Rootfinder( RootFinder* root_finder, RootErrorFunc rfunc); Inherited from FirstOrderODEVariableStepIntegrator
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// double getIndyVar(); Inherited from Integrator
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// void setIndyVar(double v); Inherited from Integrator
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};
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class HeunsMethod : public FirstOrderODEVariableStepIntegrator {
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@ -69,7 +101,7 @@ namespace SA {
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double *derivs[2];
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HeunsMethod( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~HeunsMethod();
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void variable_step( double h);
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void variable_step( double h); // Overrides FirstOrderODEVariableStepIntegrator::variable_step()
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};
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class RK2Integrator : public FirstOrderODEVariableStepIntegrator {
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@ -78,7 +110,7 @@ namespace SA {
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double *derivs[2];
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RK2Integrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc derivs_func, void* udata);
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~RK2Integrator();
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void variable_step( double h);
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void variable_step( double h); // Overrides FirstOrderODEVariableStepIntegrator::variable_step()
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};
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class RK4Integrator : public FirstOrderODEVariableStepIntegrator {
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@ -87,7 +119,7 @@ namespace SA {
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double *derivs[4];
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RK4Integrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~RK4Integrator();
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void variable_step( double h);
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void variable_step( double h); // Overrides FirstOrderODEVariableStepIntegrator::variable_step()
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};
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class RK3_8Integrator : public FirstOrderODEVariableStepIntegrator {
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@ -96,18 +128,18 @@ namespace SA {
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double *derivs[4];
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RK3_8Integrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~RK3_8Integrator();
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void variable_step( double h);
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void variable_step( double h); // Overrides FirstOrderODEVariableStepIntegrator::variable_step()
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};
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class EulerCromerIntegrator : public Integrator {
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protected:
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unsigned int state_size;
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double** x_p;
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double** v_p;
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double* x_in;
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double* v_in;
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double* x_out;
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double* v_out;
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unsigned int nDimensions;
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double** pos_p;
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double** vel_p;
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double* pos_in;
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double* vel_in;
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double* pos_out;
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double* vel_out;
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double* g_out;
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double* f_out;
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DerivsFunc gderivs;
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@ -120,25 +152,26 @@ namespace SA {
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void step();
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void load();
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void unload();
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double undo_integrate();
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};
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// class ABMIntegrator : public FirstOrderODEIntegrator {
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// protected:
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// double ** deriv_history;
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// double * composite_deriv;
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// unsigned int bufferSize;
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// unsigned int algorithmHistorySize;
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// unsigned int hix;
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// unsigned int currentHistorySize;
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//
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// public:
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// ABMIntegrator(int history_size, double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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// ~ABMIntegrator();
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// void step();
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// void undo_step();
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// };
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// AdamsBashforthMoulton Self Priming
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class ABMIntegrator : public FirstOrderODEIntegrator {
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protected:
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double ** deriv_history;
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double * composite_deriv;
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unsigned int bufferSize;
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unsigned int algorithmHistorySize;
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unsigned int hix;
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unsigned int currentHistorySize;
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public:
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ABMIntegrator(int history_size, double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~ABMIntegrator();
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void step();
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double undo_integrate();
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};
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// AdamsBashforthMoulton 2
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// AdamsBashforthMoulton 2 with RK2 Priming
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class ABM2Integrator : public FirstOrderODEIntegrator {
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protected:
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double ** deriv_history;
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@ -147,15 +180,14 @@ namespace SA {
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unsigned int hix;
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unsigned int currentHistorySize;
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FirstOrderODEVariableStepIntegrator* priming_integrator;
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public:
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ABM2Integrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~ABM2Integrator();
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void step();
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double undo_step();
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double undo_integrate();
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};
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// AdamsBashforthMoulton 4
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// AdamsBashforthMoulton 4 with RK4 Priming
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class ABM4Integrator : public FirstOrderODEIntegrator {
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protected:
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double ** deriv_history;
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@ -164,11 +196,10 @@ namespace SA {
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unsigned int hix;
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unsigned int currentHistorySize;
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FirstOrderODEVariableStepIntegrator* priming_integrator;
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public:
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ABM4Integrator( double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata);
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~ABM4Integrator();
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void step();
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double undo_step();
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double undo_integrate();
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};
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}
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@ -3,11 +3,33 @@
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#include <iostream>
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#include "SAIntegrator.hh"
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void SA::Integrator::step() { X_out = X_in + default_h; }
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void SA::Integrator::load() { X_in = X_out; }
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void SA::Integrator::unload() {}
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double SA::Integrator::getIndyVar() { return X_out; }
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void SA::Integrator::setIndyVar(double v) { X_out = v; }
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void SA::Integrator::advanceIndyVar() {
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X_out = X_in + default_h;
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}
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void SA::Integrator::step() {
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advanceIndyVar();
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}
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void SA::Integrator::load() {
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X_in = X_out;
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}
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void SA::Integrator::unload() {
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std::cout << "SA::Integrator : Nothing to unload." << std::endl;
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}
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void SA::Integrator::integrate() {
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load();
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step();
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unload();
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}
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double SA::Integrator::undo_integrate() {
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X_out = X_in;
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return (default_h);
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}
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double SA::Integrator::getIndyVar() {
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return X_out;
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}
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void SA::Integrator::setIndyVar(double v) {
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X_out = v;
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}
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// ------------------------------------------------------------
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SA::FirstOrderODEIntegrator::FirstOrderODEIntegrator(
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@ -59,13 +81,24 @@ double** SA::FirstOrderODEIntegrator::set_out_vars( double* out_vars[]){
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outVars = out_vars;
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return (ret);
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}
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double SA::FirstOrderODEIntegrator::undo_step() {
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double SA::FirstOrderODEIntegrator::undo_integrate() {
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for (unsigned int i=0 ; i<state_size; i++ ) {
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*(inVars[i]) = inState[i];
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}
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X_out = X_in;
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return (last_h);
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for (unsigned int i=0 ; i<state_size; i++ ) {
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outState[i] = inState[i];
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}
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return (SA::Integrator::undo_integrate());
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}
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void SA::FirstOrderODEIntegrator::step() {
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double derivs[state_size];
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(*derivs_func)( X_in, inState, derivs, user_data);
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for (unsigned int i=0; i<state_size; i++) {
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outState[i] = inState[i] + derivs[i] * default_h;
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}
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advanceIndyVar();
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}
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// ------------------------------------------------------------
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SA::FirstOrderODEVariableStepIntegrator::FirstOrderODEVariableStepIntegrator(
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double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata)
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@ -73,6 +106,10 @@ SA::FirstOrderODEVariableStepIntegrator::FirstOrderODEVariableStepIntegrator(
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root_finder = (RootFinder*) NULL;
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root_error_func = (RootErrorFunc)NULL;
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}
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double SA::FirstOrderODEVariableStepIntegrator::undo_integrate() {
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SA::FirstOrderODEIntegrator::undo_integrate();
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return (last_h);
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}
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SA::FirstOrderODEVariableStepIntegrator::~FirstOrderODEVariableStepIntegrator() {
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// User is responsible for deleting the root_finder.
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}
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@ -81,15 +118,23 @@ void SA::FirstOrderODEVariableStepIntegrator::add_Rootfinder(
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root_finder = rootFinder;
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root_error_func = rfunc;
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}
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void SA::FirstOrderODEVariableStepIntegrator::variable_step( double h) {
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void SA::FirstOrderODEVariableStepIntegrator::advanceIndyVar(double h) {
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last_h = h; X_out = X_in + h;
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}
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void SA::FirstOrderODEVariableStepIntegrator::variable_step( double h) {
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double derivs[state_size];
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(*derivs_func)( X_in, inState, derivs, user_data);
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for (unsigned int i=0; i<state_size; i++) {
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outState[i] = inState[i] + derivs[i] * h;
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}
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advanceIndyVar(h);
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}
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void SA::FirstOrderODEVariableStepIntegrator::find_roots(double h, unsigned int depth) {
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double new_h;
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double h_correction = (*root_error_func)( getIndyVar(), outState, root_finder, user_data );
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if (h_correction < 0.0) {
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while (h_correction != 0.0) {
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new_h = undo_step() + h_correction;
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new_h = undo_integrate() + h_correction;
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variable_step(new_h);
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h_correction = (*root_error_func)( getIndyVar(), outState, root_finder, user_data );
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}
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@ -106,6 +151,7 @@ void SA::FirstOrderODEVariableStepIntegrator::step() {
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find_roots( default_h, 5 );
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}
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}
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// ------------------------------------------------------------
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SA::EulerIntegrator::EulerIntegrator(
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double h, int N, double* in_vars[], double* out_vars[], DerivsFunc dfunc, void* udata)
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@ -120,7 +166,7 @@ void SA::EulerIntegrator::variable_step( double h) {
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for (unsigned int i=0; i<state_size; i++) {
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outState[i] = inState[i] + derivs[i] * h;
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}
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SA::FirstOrderODEVariableStepIntegrator::variable_step(h);
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advanceIndyVar(h);
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}
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// ------------------------------------------------------------
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SA::HeunsMethod::HeunsMethod(
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@ -146,7 +192,7 @@ void SA::HeunsMethod::variable_step( double h) {
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for (unsigned int i=0; i<state_size; i++) {
|
||||
outState[i] = inState[i] + (h/2) * ( derivs[0][i] + derivs[1][i] );
|
||||
}
|
||||
SA::FirstOrderODEVariableStepIntegrator::variable_step(h);
|
||||
advanceIndyVar(h);
|
||||
}
|
||||
// ------------------------------------------------------------
|
||||
SA::RK2Integrator::RK2Integrator(
|
||||
@ -172,7 +218,7 @@ void SA::RK2Integrator::variable_step( double h) {
|
||||
for (unsigned int i=0; i<state_size; i++) {
|
||||
outState[i] = inState[i] + h * derivs[1][i];
|
||||
}
|
||||
SA::FirstOrderODEVariableStepIntegrator::variable_step(h);
|
||||
advanceIndyVar(h);
|
||||
}
|
||||
// ------------------------------------------------------------
|
||||
SA::RK4Integrator::RK4Integrator(
|
||||
@ -213,7 +259,7 @@ void SA::RK4Integrator::variable_step( double h) {
|
||||
(1/3.0)* derivs[2][i] +
|
||||
(1/6.0)* derivs[3][i]) * h;
|
||||
}
|
||||
SA::FirstOrderODEVariableStepIntegrator::variable_step(h);
|
||||
advanceIndyVar(h);
|
||||
}
|
||||
// ------------------------------------------------------------
|
||||
SA::RK3_8Integrator::RK3_8Integrator(
|
||||
@ -254,138 +300,146 @@ void SA::RK3_8Integrator::variable_step( double h) {
|
||||
(3/8.0)* derivs[2][i] +
|
||||
(1/8.0)* derivs[3][i]) * h;
|
||||
}
|
||||
SA::FirstOrderODEVariableStepIntegrator::variable_step(h);
|
||||
advanceIndyVar(h);
|
||||
}
|
||||
// ------------------------------------------------------------
|
||||
SA::EulerCromerIntegrator::EulerCromerIntegrator(
|
||||
double dt, int N, double* xp[], double* vp[], DerivsFunc gfunc, DerivsFunc ffunc, void* udata)
|
||||
:Integrator(dt, udata) {
|
||||
state_size = N;
|
||||
x_p = new double*[N];
|
||||
v_p = new double*[N];
|
||||
x_in = new double[N];
|
||||
v_in = new double[N];
|
||||
nDimensions = N;
|
||||
pos_p = new double*[N];
|
||||
pos_in = new double[N];
|
||||
pos_out = new double[N];
|
||||
vel_p = new double*[N];
|
||||
vel_in = new double[N];
|
||||
vel_out = new double[N];
|
||||
g_out = new double[N];
|
||||
f_out = new double[N];
|
||||
x_out = new double[N];
|
||||
v_out = new double[N];
|
||||
|
||||
for (int i=0 ; i<N; i++ ) {
|
||||
x_p[i] = xp[i];
|
||||
v_p[i] = vp[i];
|
||||
pos_p[i] = xp[i];
|
||||
vel_p[i] = vp[i];
|
||||
}
|
||||
gderivs = gfunc;
|
||||
fderivs = ffunc;
|
||||
}
|
||||
SA::EulerCromerIntegrator::~EulerCromerIntegrator() {
|
||||
delete x_p;
|
||||
delete v_p;
|
||||
delete x_in;
|
||||
delete v_in;
|
||||
|
||||
delete pos_in;
|
||||
delete pos_out;
|
||||
delete vel_in;
|
||||
delete vel_out;
|
||||
delete g_out;
|
||||
delete f_out;
|
||||
delete x_out;
|
||||
delete v_out;
|
||||
}
|
||||
void SA::EulerCromerIntegrator::step( double dt) {
|
||||
(*gderivs)( X_in, x_in, g_out, user_data);
|
||||
for (int i=0 ; i<state_size; i++ ) {
|
||||
v_out[i] = v_in[i] + g_out[i] * dt;
|
||||
(*gderivs)( X_in, pos_in, g_out, user_data);
|
||||
for (int i=0 ; i<nDimensions; i++ ) {
|
||||
vel_out[i] = vel_in[i] + g_out[i] * dt;
|
||||
}
|
||||
(*fderivs)( X_in, v_in, f_out, user_data);
|
||||
for (int i=0 ; i<state_size; i++ ) {
|
||||
x_out[i] = x_in[i] + f_out[i] * dt;
|
||||
(*fderivs)( X_in, vel_in, f_out, user_data);
|
||||
for (int i=0 ; i<nDimensions; i++ ) {
|
||||
pos_out[i] = pos_in[i] + f_out[i] * dt;
|
||||
}
|
||||
X_out = X_in + dt;
|
||||
}
|
||||
void SA::EulerCromerIntegrator::step() {
|
||||
step(default_h);
|
||||
// if ((root_finder != NULL) && (root_error_func != NULL)) {
|
||||
// find_roots( default_h, 5 );
|
||||
// }
|
||||
}
|
||||
void SA::EulerCromerIntegrator::load() {
|
||||
for (int i=0 ; i<state_size; i++ ) {
|
||||
x_in[i] = *(x_p[i]);
|
||||
v_in[i] = *(v_p[i]);
|
||||
for (int i=0 ; i<nDimensions; i++ ) {
|
||||
pos_in[i] = *(pos_p[i]);
|
||||
vel_in[i] = *(vel_p[i]);
|
||||
}
|
||||
}
|
||||
void SA::EulerCromerIntegrator::unload(){
|
||||
for (int i=0 ; i<state_size; i++ ) {
|
||||
*(x_p[i]) = x_out[i];
|
||||
*(v_p[i]) = v_out[i];
|
||||
for (int i=0 ; i<nDimensions; i++ ) {
|
||||
*(pos_p[i]) = pos_out[i];
|
||||
*(vel_p[i]) = vel_out[i];
|
||||
}
|
||||
}
|
||||
double SA::EulerCromerIntegrator::undo_integrate() {
|
||||
for (int i=0 ; i<nDimensions; i++ ) {
|
||||
*(pos_p[i]) = pos_in[i];
|
||||
*(vel_p[i]) = vel_in[i];
|
||||
}
|
||||
return (SA::Integrator::undo_integrate());
|
||||
}
|
||||
|
||||
// // Adams-Bashforth Coefficients
|
||||
// static const double ABCoeffs[5][5] = {
|
||||
// {1.0, 0.0, 0.0, 0.0, 0.0},
|
||||
// {(3/2.0), (-1/2.0), 0.0, 0.0, 0.0},
|
||||
// {(23/12.0), (-16/12.0), (5/12.0), 0.0, 0.0},
|
||||
// {(55/24.0), (-59/24.0), (37/24.0), (-9/24.0), 0.0},
|
||||
// {(1901/720.0), (-2774/720.0), (2616/720.0), (-1274/720.0), (251/720.0)}
|
||||
// };
|
||||
static const double ABCoeffs[5][5] = {
|
||||
{1.0, 0.0, 0.0, 0.0, 0.0},
|
||||
{(3/2.0), (-1/2.0), 0.0, 0.0, 0.0},
|
||||
{(23/12.0), (-16/12.0), (5/12.0), 0.0, 0.0},
|
||||
{(55/24.0), (-59/24.0), (37/24.0), (-9/24.0), 0.0},
|
||||
{(1901/720.0), (-2774/720.0), (2616/720.0), (-1274/720.0), (251/720.0)}
|
||||
};
|
||||
//
|
||||
// // Adams-Moulton Coefficients
|
||||
// static const double AMCoeffs[5][5] = {
|
||||
// {1.0, 0.0, 0.0, 0.0, 0.0},
|
||||
// {(1/2.0), (1/2.0), 0.0, 0.0, 0.0},
|
||||
// {(5/12.0), (8/12.0), (-1/12.0), 0.0, 0.0},
|
||||
// {(9/24.0), (19/24.0), (-5/24.0), (1/24.0), 0.0},
|
||||
// {(251/720.0), (646/720.0), (-264/720.0), (106/720.0), (-19/720.0)}
|
||||
// };
|
||||
// SA::ABMIntegrator::ABMIntegrator ( int history_size, double h, int N, double* in_vars[], double* out_vars[], DerivsFunc func, void* udata)
|
||||
// : FirstOrderODEIntegrator(h, N, in_vars, out_vars ,func, udata) {
|
||||
//
|
||||
// algorithmHistorySize=history_size; // The amount of history that we intend to use in this ABM integrator.
|
||||
// bufferSize=algorithmHistorySize+1; // The size of the buffer needs to be one more than the history so that an integration step can be reset.
|
||||
// hix=0;
|
||||
// currentHistorySize=0; // How much derivative history is currently stored int the history buffer. Initially there will be none until we've primed the integrator.
|
||||
// deriv_history = new double*[bufferSize];
|
||||
// for (unsigned int i=0; i<bufferSize ; i++) {
|
||||
// deriv_history[i] = new double[state_size];
|
||||
// }
|
||||
// composite_deriv = new double[state_size];
|
||||
// }
|
||||
// SA::ABMIntegrator::~ABMIntegrator() {
|
||||
// for (int i=0; i<bufferSize ; i++) {
|
||||
// delete (deriv_history[i]);
|
||||
// }
|
||||
// delete(deriv_history);
|
||||
// delete(composite_deriv);
|
||||
// }
|
||||
// void SA::ABMIntegrator::step() {
|
||||
//
|
||||
// hix = (hix+1)%bufferSize; // Move history index forward
|
||||
// // (*derivs_func)( indyVar, inState, deriv_history[hix], user_data);
|
||||
// (*derivs_func)( X_in, inState, deriv_history[hix], user_data); // Calculated and store the deriv for current, corrected state.
|
||||
// // Increase the size of the stored history, up to the limit specified by the user.
|
||||
// currentHistorySize = (currentHistorySize < algorithmHistorySize) ? currentHistorySize+1 : algorithmHistorySize;
|
||||
// // (Predictor) Predict the next state using the Adams-Bashforth explicit method.
|
||||
// for (int i=0; i<state_size; i++) {
|
||||
// composite_deriv[i] = 0.0;
|
||||
// for (int n=0,j=hix; n<currentHistorySize ; n++,j=(j+bufferSize-1)%bufferSize) {
|
||||
// composite_deriv[i] += ABCoeffs[currentHistorySize-1][n] * deriv_history[j][i];
|
||||
// }
|
||||
// outState[i] = inState[i] + default_h * composite_deriv[i];
|
||||
// }
|
||||
// // Move history index forward, so we can temporarily store the derivative of the predicted next state.
|
||||
// // We do not increase the currentHistorySize.
|
||||
// hix = (hix+1)%bufferSize;
|
||||
// (*derivs_func)( X_out, outState, deriv_history[hix], user_data); // Calc deriv for predicted next state.
|
||||
// // (Corrector) Refine the next state using the Adams-Moulton implicit method. This is the corrected next state.
|
||||
// for (int i=0; i<state_size; i++) {
|
||||
// composite_deriv[i] = 0.0;
|
||||
// for (int n=0,j=hix; n<currentHistorySize ; n++,j=(j+bufferSize-1)%bufferSize) {
|
||||
// composite_deriv[i] += AMCoeffs[currentHistorySize-1][n] * deriv_history[j][i];
|
||||
// }
|
||||
// outState[i] = inState[i] + default_h * composite_deriv[i];
|
||||
// }
|
||||
// // Move history index backward, so we over-write the predicted state with the corrected state on our next step().
|
||||
// hix = (hix+bufferSize-1)%bufferSize;
|
||||
// SA::Integrator::step();
|
||||
// }
|
||||
//
|
||||
// double SA::ABMIntegrator::undo_step() {
|
||||
// hix = (hix+bufferSize-1)%bufferSize;
|
||||
// return (FirstOrderODEIntegrator::undo_step());
|
||||
// }
|
||||
static const double AMCoeffs[5][5] = {
|
||||
{1.0, 0.0, 0.0, 0.0, 0.0},
|
||||
{(1/2.0), (1/2.0), 0.0, 0.0, 0.0},
|
||||
{(5/12.0), (8/12.0), (-1/12.0), 0.0, 0.0},
|
||||
{(9/24.0), (19/24.0), (-5/24.0), (1/24.0), 0.0},
|
||||
{(251/720.0), (646/720.0), (-264/720.0), (106/720.0), (-19/720.0)}
|
||||
};
|
||||
SA::ABMIntegrator::ABMIntegrator ( int history_size, double h, int N, double* in_vars[], double* out_vars[], DerivsFunc func, void* udata)
|
||||
: FirstOrderODEIntegrator(h, N, in_vars, out_vars ,func, udata) {
|
||||
|
||||
algorithmHistorySize=history_size; // The amount of history that we intend to use in this ABM integrator.
|
||||
bufferSize=algorithmHistorySize+1; // The size of the buffer needs to be one more than the history so that an integration step can be reset.
|
||||
hix=0;
|
||||
currentHistorySize=0; // How much derivative history is currently stored int the history buffer. Initially there will be none until we've primed the integrator.
|
||||
deriv_history = new double*[bufferSize];
|
||||
for (unsigned int i=0; i<bufferSize ; i++) {
|
||||
deriv_history[i] = new double[state_size];
|
||||
}
|
||||
composite_deriv = new double[state_size];
|
||||
}
|
||||
SA::ABMIntegrator::~ABMIntegrator() {
|
||||
for (int i=0; i<bufferSize ; i++) {
|
||||
delete (deriv_history[i]);
|
||||
}
|
||||
delete(deriv_history);
|
||||
delete(composite_deriv);
|
||||
}
|
||||
void SA::ABMIntegrator::step() {
|
||||
hix = (hix+1)%bufferSize; // Move history index forward
|
||||
(*derivs_func)( X_in, inState, deriv_history[hix], user_data); // Calculated and store the deriv for current, corrected state.
|
||||
// Increase the size of the stored history, up to the limit specified by the user.
|
||||
currentHistorySize = (currentHistorySize < algorithmHistorySize) ? currentHistorySize+1 : algorithmHistorySize;
|
||||
// (Predictor) Predict the next state using the Adams-Bashforth explicit method.
|
||||
for (int i=0; i<state_size; i++) {
|
||||
composite_deriv[i] = 0.0;
|
||||
for (int n=0,j=hix; n<currentHistorySize ; n++,j=(j+bufferSize-1)%bufferSize) {
|
||||
composite_deriv[i] += ABCoeffs[currentHistorySize-1][n] * deriv_history[j][i];
|
||||
}
|
||||
outState[i] = inState[i] + default_h * composite_deriv[i];
|
||||
}
|
||||
// Move history index forward, so we can temporarily store the derivative of the predicted next state.
|
||||
// We do not increase the currentHistorySize.
|
||||
hix = (hix+1)%bufferSize;
|
||||
(*derivs_func)( X_out, outState, deriv_history[hix], user_data); // Calc deriv for predicted next state.
|
||||
// (Corrector) Refine the next state using the Adams-Moulton implicit method. This is the corrected next state.
|
||||
for (int i=0; i<state_size; i++) {
|
||||
composite_deriv[i] = 0.0;
|
||||
for (int n=0,j=hix; n<currentHistorySize ; n++,j=(j+bufferSize-1)%bufferSize) {
|
||||
composite_deriv[i] += AMCoeffs[currentHistorySize-1][n] * deriv_history[j][i];
|
||||
}
|
||||
outState[i] = inState[i] + default_h * composite_deriv[i];
|
||||
}
|
||||
// Move history index backward, so we over-write the predicted state with the corrected state on our next step().
|
||||
hix = (hix+bufferSize-1)%bufferSize;
|
||||
SA::Integrator::step();
|
||||
}
|
||||
|
||||
double SA::ABMIntegrator::undo_integrate() {
|
||||
hix = (hix+bufferSize-1)%bufferSize;
|
||||
return (FirstOrderODEIntegrator::undo_integrate());
|
||||
}
|
||||
|
||||
// =======================================================================
|
||||
static const double AB2Coeffs[2] = {(3/2.0), (-1/2.0)};
|
||||
@ -404,7 +458,7 @@ SA::ABM2Integrator::ABM2Integrator (
|
||||
}
|
||||
composite_deriv = new double[state_size];
|
||||
|
||||
// NEW: Create a priming integrator.
|
||||
// Create a priming integrator.
|
||||
double** priming_integrator_in_vars = new double*[state_size];
|
||||
for (unsigned int i=0; i<N ; i++) {
|
||||
priming_integrator_in_vars[i] = &(inState[i]);
|
||||
@ -458,11 +512,11 @@ void SA::ABM2Integrator::step() {
|
||||
// Move history index backward, so we over-write the predicted state with the corrected state on our next step().
|
||||
hix = (hix+bufferSize-1)%bufferSize;
|
||||
}
|
||||
SA::Integrator::step();
|
||||
advanceIndyVar();
|
||||
}
|
||||
double SA::ABM2Integrator::undo_step() {
|
||||
double SA::ABM2Integrator::undo_integrate() {
|
||||
hix = (hix+bufferSize-1)%bufferSize;
|
||||
return ( FirstOrderODEIntegrator::undo_step());
|
||||
return ( FirstOrderODEIntegrator::undo_integrate());
|
||||
}
|
||||
// =======================================================================
|
||||
static const double AB4Coeffs[4] = {(55/24.0), (-59/24.0), (37/24.0), (-9/24.0)};
|
||||
@ -534,9 +588,9 @@ void SA::ABM4Integrator::step() {
|
||||
// Move history index backward, so we over-write the predicted state with the corrected state on our next step().
|
||||
hix = (hix+bufferSize-1)%bufferSize;
|
||||
}
|
||||
SA::Integrator::step();
|
||||
advanceIndyVar();
|
||||
}
|
||||
double SA::ABM4Integrator::undo_step() {
|
||||
double SA::ABM4Integrator::undo_integrate() {
|
||||
hix = (hix+bufferSize-1)%bufferSize;
|
||||
return (FirstOrderODEIntegrator::undo_step());
|
||||
return (FirstOrderODEIntegrator::undo_integrate());
|
||||
}
|
||||
|
@ -0,0 +1,159 @@
|
||||
#include <gtest/gtest.h>
|
||||
#include <iostream>
|
||||
#include "SAIntegrator.hh"
|
||||
#include <math.h>
|
||||
|
||||
#define EXCEPTABLE_ERROR 0.00000000001
|
||||
|
||||
void calc_derivs( double x __attribute__((unused)),
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
derivs[0] = 1.0;
|
||||
derivs[1] = 1.0;
|
||||
derivs[2] = 1.0;
|
||||
derivs[3] = 1.0;
|
||||
}
|
||||
|
||||
/*
|
||||
The default integration algorithm for FirstOrderODEIntegrator is Euler integration.
|
||||
Tests:
|
||||
* getIndyVar
|
||||
* integrate
|
||||
* load
|
||||
* step
|
||||
* unload
|
||||
*/
|
||||
TEST(FirstOrderODEIntegrator_unittest, test_1) {
|
||||
double h = 0.1;
|
||||
unsigned int N = 4;
|
||||
double vars[4] = {1.0, 2.0, 3.0, 4.0} ;
|
||||
double* varptrs[4] = {&vars[0], &vars[1], &vars[2], &vars[3]};
|
||||
double x;
|
||||
|
||||
SA::FirstOrderODEIntegrator integ( h, N, varptrs, varptrs, calc_derivs, NULL);
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 0.0, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.integrate();
|
||||
EXPECT_NEAR(vars[0], 1.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[1], 2.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[2], 3.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[3], 4.1, EXCEPTABLE_ERROR);
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 0.1, EXCEPTABLE_ERROR);
|
||||
}
|
||||
/*
|
||||
Tests:
|
||||
* getIndyVar
|
||||
* integrate
|
||||
* load
|
||||
* step
|
||||
* unload
|
||||
* undo_integrate
|
||||
*/
|
||||
TEST(FirstOrderODEIntegrator_unittest, test_2) {
|
||||
double h = 0.1;
|
||||
unsigned int N = 4;
|
||||
double vars[4] = {1.0, 2.0, 3.0, 4.0} ;
|
||||
double* varptrs[4] = {&vars[0], &vars[1], &vars[2], &vars[3]};
|
||||
double x;
|
||||
|
||||
SA::FirstOrderODEIntegrator integ( h, N, varptrs, varptrs, calc_derivs, NULL);
|
||||
|
||||
integ.integrate();
|
||||
EXPECT_NEAR(vars[0], 1.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[1], 2.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[2], 3.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[3], 4.1, EXCEPTABLE_ERROR);
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 0.1, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.undo_integrate();
|
||||
EXPECT_NEAR(vars[0], 1.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[1], 2.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[2], 3.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[3], 4.0, EXCEPTABLE_ERROR);
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 0.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
/*
|
||||
Tests:
|
||||
* getIndyVar
|
||||
* integrate
|
||||
* load
|
||||
* step
|
||||
* unload
|
||||
* load_from_outState
|
||||
*/
|
||||
TEST(FirstOrderODEIntegrator_unittest, test_3) {
|
||||
double h = 0.1;
|
||||
unsigned int N = 4;
|
||||
double vars[4] = {1.0, 2.0, 3.0, 4.0};
|
||||
double* varptrs[4] = {&vars[0], &vars[1], &vars[2], &vars[3]};
|
||||
|
||||
SA::FirstOrderODEIntegrator integ( h, N, varptrs, varptrs, calc_derivs, NULL);
|
||||
|
||||
integ.integrate();
|
||||
for (int i=0; i<5 ; i++) {
|
||||
integ.load_from_outState();
|
||||
integ.step();
|
||||
}
|
||||
integ.unload();
|
||||
EXPECT_NEAR(vars[0], 1.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[1], 2.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[2], 3.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[3], 4.6, EXCEPTABLE_ERROR);
|
||||
|
||||
double x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 0.6, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
/*
|
||||
Tests:
|
||||
* getIndyVar
|
||||
* integrate
|
||||
* load
|
||||
* step
|
||||
* unload
|
||||
* load_from_outState
|
||||
* set_out_vars
|
||||
*/
|
||||
TEST(FirstOrderODEIntegrator_unittest, test_4) {
|
||||
double h = 0.1;
|
||||
unsigned int N = 4;
|
||||
|
||||
double vars[4] = {1.0, 2.0, 3.0, 4.0};
|
||||
double* varptrs[4] = {&vars[0], &vars[1], &vars[2], &vars[3]};
|
||||
double altvars[4];
|
||||
double* altvarptrs[4] = {&altvars[0], &altvars[1], &altvars[2], &altvars[3]};
|
||||
|
||||
SA::FirstOrderODEIntegrator integ( h, N, varptrs, varptrs, calc_derivs, NULL);
|
||||
|
||||
integ.integrate();
|
||||
for (int i=0; i<5 ; i++) {
|
||||
integ.load_from_outState();
|
||||
integ.step();
|
||||
}
|
||||
integ.set_out_vars( altvarptrs);
|
||||
integ.unload();
|
||||
EXPECT_NEAR(altvars[0], 1.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(altvars[1], 2.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(altvars[2], 3.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(altvars[3], 4.6, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.set_out_vars( varptrs);
|
||||
integ.unload();
|
||||
EXPECT_NEAR(vars[0], 1.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[1], 2.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[2], 3.6, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(vars[3], 4.6, EXCEPTABLE_ERROR);
|
||||
|
||||
double x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 0.6, EXCEPTABLE_ERROR);
|
||||
}
|
@ -0,0 +1,172 @@
|
||||
#include <gtest/gtest.h>
|
||||
#include <iostream>
|
||||
#include "SAIntegrator.hh"
|
||||
#include <math.h>
|
||||
|
||||
void deriv4( double t,
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
double t2 = t*t;
|
||||
double t3 = t2*t;
|
||||
derivs[0] = 3.0*t3 - 3.0*t2 - 3.0*t + 4.0;
|
||||
derivs[1] = 2.0*t3 + 1.0*t2 - 5.0*t + 7.0;
|
||||
derivs[2] = t3 + t2 + 5.0*t + 4.0;
|
||||
derivs[3] = t3 - 6.0*t2 + 4.0*t + 12.0;
|
||||
}
|
||||
|
||||
void deriv2( double t,
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
|
||||
derivs[0] = -2.0*t + 3.0;
|
||||
derivs[1] = 5.0*t + 4.0;
|
||||
derivs[2] = 3.0*t - 3.0;
|
||||
derivs[3] = 5.0*t + 4.0;
|
||||
}
|
||||
|
||||
void deriv1( double t __attribute__((unused)),
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
derivs[0] = 4.0;
|
||||
derivs[1] = -4.0;
|
||||
derivs[2] = M_PI;
|
||||
derivs[3] = -M_PI;
|
||||
}
|
||||
|
||||
#define EXCEPTABLE_ERROR 0.00000000001
|
||||
|
||||
TEST(FirstOrderODEVariableStepIntegrator_unittest, EulerIntegrator_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3])};
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::EulerIntegrator integ(dt, 4, state_var_p, state_var_p, deriv1, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 8.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], -8.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (2*M_PI), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], (-2*M_PI), EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(FirstOrderODEVariableStepIntegrator_unittest, RungeKutta2_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3]) };
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::RK2Integrator integ(dt, 4, state_var_p, state_var_p, deriv2, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 2.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], 18.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 18.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(FirstOrderODEVariableStepIntegrator_unittest, RungeKutta4_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3]) };
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::RK4Integrator integ(dt, 4, state_var_p, state_var_p, deriv4, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 6.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (14.0+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (24+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 20.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(FirstOrderODEVariableStepIntegrator_unittest, RungeKutta38_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3]) };
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::RK3_8Integrator integ(dt, 4, state_var_p, state_var_p, deriv4, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 6.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (14.0+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (24+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 20.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(FirstOrderODEVariableStepIntegrator_unittest, EulerIntegrator_undo_integrate) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3])};
|
||||
double dx = 0.1;
|
||||
double x;
|
||||
|
||||
SA::EulerIntegrator integ(dx, 4, state_var_p, state_var_p, deriv1, NULL);
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], (4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (-4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], (-M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.1, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.undo_integrate();
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.0, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.undo_integrate();
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.0, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], (4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (-4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], (-M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.1, EXCEPTABLE_ERROR);
|
||||
}
|
@ -15,8 +15,10 @@ LIBDIRS = -L${SAI_LIBDIR} -L${GTEST_HOME}/lib64 -L${GTEST_HOME}/lib
|
||||
|
||||
all: test
|
||||
|
||||
test: SAIntegrator_unittest RootFinder_unittest
|
||||
test: SAIntegrator_unittest FirstOrderODEIntegrator_unittest FirstOrderODEVariableStepIntegrator_unittest RootFinder_unittest
|
||||
./SAIntegrator_unittest --gtest_output=xml:${TRICK_HOME}/trick_test/SAIntegrator_unittest.xml
|
||||
./FirstOrderODEIntegrator_unittest --gtest_output=xml:${TRICK_HOME}/trick_test/FirstOrderODEIntegrator_unittest.xml
|
||||
./FirstOrderODEVariableStepIntegrator_unittest --gtest_output=xml:${TRICK_HOME}/trick_test/FirstOrderODEVariableStepIntegrator_unittest.xml
|
||||
./RootFinder_unittest --gtest_output=xml:${TRICK_HOME}/trick_test/RootFinder_unittest.xml
|
||||
|
||||
SAIntegrator_unittest.o : SAIntegrator_unittest.cc
|
||||
@ -25,6 +27,18 @@ SAIntegrator_unittest.o : SAIntegrator_unittest.cc
|
||||
SAIntegrator_unittest : ${SAI_LIBDIR}/${SAI_LIBNAME} SAIntegrator_unittest.o
|
||||
$(TRICK_CXX) $(TRICK_CPPFLAGS) -o $@ $^ ${LIBDIRS} -lSAInteg -lgtest -lgtest_main -lpthread
|
||||
|
||||
FirstOrderODEIntegrator_unittest.o : FirstOrderODEIntegrator_unittest.cc
|
||||
$(TRICK_CXX) $(TRICK_CPPFLAGS) $(INCLUDE_DIRS) -c $<
|
||||
|
||||
FirstOrderODEIntegrator_unittest : ${SAI_LIBDIR}/${SAI_LIBNAME} FirstOrderODEIntegrator_unittest.o
|
||||
$(TRICK_CXX) $(TRICK_CPPFLAGS) -o $@ $^ ${LIBDIRS} -lSAInteg -lgtest -lgtest_main -lpthread
|
||||
|
||||
FirstOrderODEVariableStepIntegrator_unittest.o : FirstOrderODEVariableStepIntegrator_unittest.cc
|
||||
$(TRICK_CXX) $(TRICK_CPPFLAGS) $(INCLUDE_DIRS) -c $<
|
||||
|
||||
FirstOrderODEVariableStepIntegrator_unittest : ${SAI_LIBDIR}/${SAI_LIBNAME} FirstOrderODEVariableStepIntegrator_unittest.o
|
||||
$(TRICK_CXX) $(TRICK_CPPFLAGS) -o $@ $^ ${LIBDIRS} -lSAInteg -lgtest -lgtest_main -lpthread
|
||||
|
||||
RootFinder_unittest.o : RootFinder_unittest.cc
|
||||
$(TRICK_CXX) $(TRICK_CPPFLAGS) $(INCLUDE_DIRS) -c $<
|
||||
|
||||
@ -38,4 +52,4 @@ clean:
|
||||
${RM} *.o
|
||||
|
||||
spotless: clean
|
||||
${RM} SAIntegrator_unittest
|
||||
${RM} FirstOrderODEVariableStepIntegrator_unittest
|
||||
|
@ -3,170 +3,72 @@
|
||||
#include "SAIntegrator.hh"
|
||||
#include <math.h>
|
||||
|
||||
void deriv4( double t,
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
double t2 = t*t;
|
||||
double t3 = t2*t;
|
||||
derivs[0] = 3.0*t3 - 3.0*t2 - 3.0*t + 4.0;
|
||||
derivs[1] = 2.0*t3 + 1.0*t2 - 5.0*t + 7.0;
|
||||
derivs[2] = t3 + t2 + 5.0*t + 4.0;
|
||||
derivs[3] = t3 - 6.0*t2 + 4.0*t + 12.0;
|
||||
}
|
||||
|
||||
void deriv2( double t,
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
|
||||
derivs[0] = -2.0*t + 3.0;
|
||||
derivs[1] = 5.0*t + 4.0;
|
||||
derivs[2] = 3.0*t - 3.0;
|
||||
derivs[3] = 5.0*t + 4.0;
|
||||
}
|
||||
|
||||
void deriv1( double t __attribute__((unused)),
|
||||
double state[] __attribute__((unused)),
|
||||
double derivs[],
|
||||
void* udata __attribute__((unused))) {
|
||||
derivs[0] = 4.0;
|
||||
derivs[1] = -4.0;
|
||||
derivs[2] = M_PI;
|
||||
derivs[3] = -M_PI;
|
||||
}
|
||||
|
||||
#define EXCEPTABLE_ERROR 0.00000000001
|
||||
|
||||
TEST(SAIntegrator_unittest, EulerIntegrator_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3])};
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::EulerIntegrator integ(dt, 4, state_var_p, state_var_p, deriv1, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 8.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], -8.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (2*M_PI), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], (-2*M_PI), EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(SAIntegrator_unittest, RungeKutta2_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3]) };
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::RK2Integrator integ(dt, 4, state_var_p, state_var_p, deriv2, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 2.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], 18.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 18.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(SAIntegrator_unittest, RungeKutta4_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3]) };
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::RK4Integrator integ(dt, 4, state_var_p, state_var_p, deriv4, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 6.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (14.0+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (24+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 20.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(SAIntegrator_unittest, RungeKutta38_1) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3]) };
|
||||
double dt = 0.01;
|
||||
unsigned int count = 0;
|
||||
double t = count * dt;
|
||||
SA::RK3_8Integrator integ(dt, 4, state_var_p, state_var_p, deriv4, NULL);
|
||||
while (t < 2.0) {
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
count ++;
|
||||
t = count * dt;
|
||||
}
|
||||
EXPECT_NEAR(state[0], 6.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (14.0+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (24+2/3.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 20.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(SAIntegrator_unittest, EulerIntegrator_undo_step) {
|
||||
|
||||
double state[4] = {0.0, 0.0, 0.0, 0.0};
|
||||
double* state_var_p[4] = { &(state[0]), &(state[1]), &(state[2]), &(state[3])};
|
||||
double dx = 0.1;
|
||||
TEST(Integrator, test_getIndyVar_and_setIndyVar) {
|
||||
double h = 0.1;
|
||||
void* udata = NULL;
|
||||
double x;
|
||||
|
||||
SA::EulerIntegrator integ(dx, 4, state_var_p, state_var_p, deriv1, NULL);
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
|
||||
SA::Integrator integ( h, udata);
|
||||
//Confirm that initial value of the independent variable is 0.0;
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], (4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (-4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], (-M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.1, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.undo_step();
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.0, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.undo_step();
|
||||
|
||||
//Set the independent variable, and then confirm that it's the value we set.;
|
||||
integ.setIndyVar(3.0);
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], 0.0, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.0, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.load();
|
||||
integ.step();
|
||||
integ.unload();
|
||||
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(state[0], (4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[1], (-4.0/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[2], (M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(state[3], (-M_PI/10.0), EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 0.1, EXCEPTABLE_ERROR);
|
||||
EXPECT_NEAR(x, 3.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
TEST(Integrator, test_load_and_step) {
|
||||
double h = 0.1;
|
||||
void* udata = NULL;
|
||||
double x;
|
||||
|
||||
SA::Integrator integ( h, udata);
|
||||
integ.setIndyVar(4.0);
|
||||
|
||||
integ.load();
|
||||
integ.step();
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 4.1, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.load();
|
||||
integ.step();
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 4.2, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(Integrator, test_integrate) {
|
||||
double h = 0.1;
|
||||
void* udata = NULL;
|
||||
double x;
|
||||
|
||||
SA::Integrator integ( h, udata);
|
||||
integ.setIndyVar(4.0);
|
||||
|
||||
integ.integrate();
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 4.1, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.integrate();
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 4.2, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
||||
TEST(Integrator, test_undo_integrate) {
|
||||
double h = 0.1;
|
||||
void* udata = NULL;
|
||||
double x;
|
||||
|
||||
SA::Integrator integ( h, udata);
|
||||
integ.setIndyVar(4.0);
|
||||
|
||||
integ.integrate();
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 4.1, EXCEPTABLE_ERROR);
|
||||
|
||||
integ.undo_integrate();
|
||||
x = integ.getIndyVar();
|
||||
EXPECT_NEAR(x, 4.0, EXCEPTABLE_ERROR);
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user