gtsam/cpp/testNonlinearConstraint.cpp

93 lines
3.2 KiB
C++

/*
* @file testNonlinearConstraint.cpp
* @brief Tests for nonlinear constraints handled via SQP
* @author Alex Cunningham
*/
#include <CppUnitLite/TestHarness.h>
#include <VectorConfig.h>
#include <NonlinearConstraint.h>
#include <NonlinearConstraint-inl.h>
using namespace gtsam;
/* ************************************************************************* */
// unary functions with scalar variables
/* ************************************************************************* */
namespace test1 {
/** p = 1, gradG(x) = 2x */
Matrix grad_g(const VectorConfig& config, const std::string& key) {
double x = config[key](0);
return Matrix_(1,1, 2*x);
}
/** p = 1, g(x) = x^2-5 = 0 */
Vector g_func(const VectorConfig& config, const std::string& key) {
double x = config[key](0);
return Vector_(1, x*x-5);
}
} // \namespace test1
/* ************************************************************************* */
TEST( NonlinearConstraint, unary_scalar_construction ) {
// construct a constraint on x
// the lagrange multipliers will be expected on L_x1
// and there is only one multiplier
size_t p = 1;
NonlinearConstraint1<VectorConfig> c1("x", *test1::grad_g, *test1::g_func, p, "L_x1");
// get a configuration to use for finding the error
VectorConfig config;
config.insert("x", Vector_(1, 1.0));
// calculate the error
Vector actual = c1.error_vector(config);
Vector expected = Vector_(1.0, -4.0);
CHECK(assert_equal(actual, expected, 1e-5));
}
/* ************************************************************************* */
TEST( NonlinearConstraint, unary_scalar_linearize ) {
// construct a constraint on x
// the lagrange multipliers will be expected on L_x1
// and there is only one multiplier
size_t p = 1;
NonlinearConstraint1<VectorConfig> c1("x", *test1::grad_g, *test1::g_func, p, "L_x1");
// get a configuration to use for linearization
VectorConfig realconfig;
realconfig.insert("x", Vector_(1, 1.0));
// get a configuration of Lagrange multipliers
VectorConfig lagrangeConfig;
lagrangeConfig.insert("L_x1", Vector_(1, 3.0));
// linearize the system
GaussianFactor::shared_ptr actFactor, actConstraint;
boost::tie(actFactor, actConstraint) = c1.linearize(realconfig, lagrangeConfig);
// verify
GaussianFactor expFactor("x", Matrix_(1,1, 6.0), "L_x1", eye(1), zero(1), 1.0);
GaussianFactor expConstraint("x", Matrix_(1,1, 2.0), Vector_(1,-4.0), 0.0);
CHECK(assert_equal(*actFactor, expFactor));
CHECK(assert_equal(*actConstraint, expConstraint));
}
/* ************************************************************************* */
TEST( NonlinearConstraint, unary_scalar_equal ) {
NonlinearConstraint1<VectorConfig>
c1("x", *test1::grad_g, *test1::g_func, 1, "L_x1"),
c2("x", *test1::grad_g, *test1::g_func, 1, "L_x1"),
c3("x", *test1::grad_g, *test1::g_func, 2, "L_x1"),
c4("y", *test1::grad_g, *test1::g_func, 1, "L_x1");
CHECK(assert_equal(c1, c2));
CHECK(assert_equal(c2, c1));
CHECK(!c1.equals(c3));
CHECK(!c1.equals(c4));
}
/* ************************************************************************* */
int main() { TestResult tr; return TestRegistry::runAllTests(tr); }
/* ************************************************************************* */