/** * @file timeGaussianFactorGraph.cpp * @brief Time elimination with simple Kalman Smoothing example * @author Frank Dellaert */ #include #include #include "smallExample.h" #include "Ordering.h" using namespace std; using namespace gtsam; /* ************************************************************************* */ // Create a Kalman smoother for t=1:T and optimize double timeKalmanSmoother(int T) { GaussianFactorGraph smoother = createSmoother(T); Ordering ordering; for (int t = 1; t <= T; t++) ordering.push_back(symbol('x',t)); clock_t start = clock(); smoother.optimize(ordering); clock_t end = clock (); double dif = (double)(end - start) / CLOCKS_PER_SEC; return dif; } /* ************************************************************************* */ TEST(timeGaussianFactorGraph, linearTime) { int T = 1000; double time1 = timeKalmanSmoother( T); // cout << time1 << endl; double time2 = timeKalmanSmoother(2*T); // cout << time2 << endl; DOUBLES_EQUAL(2*time1,time2,0.001); } /* ************************************************************************* */ int main() { TestResult tr; TestRegistry::runAllTests(tr); return 0; } /* ************************************************************************* */