12345qiupeng
/
gtsam
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Clean up the code

release/4.3a0
Sungtae An 2014-12-04 23:30:27 -05:00
parent cfb82d9a96
commit 06b82ce3e3
1 changed files with 24 additions and 33 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

57
tests/testPreconditioner.cpp
View File

@ -39,41 +39,39 @@ TEST( PCGsolver, verySimpleLinearSystem) {
// Create a Gaussian Factor Graph
GaussianFactorGraph simpleGFG;
simpleGFG += JacobianFactor(0, (Matrix(2,2)<< 4, 1, 1, 3).finished(), (Vector(2) << 1,2 ).finished(), noiseModel::Unit::Create(2));
//simpleGFG.print("Factors\n");
// Exact solution already known
VectorValues exactSolution;
exactSolution.insert(0, (Vector(2) << 1./11., 7./11.).finished());
exactSolution.print("Exact");
//exactSolution.print("Exact");
// Solve the system using direct method
VectorValues deltaDirect = simpleGFG.optimize();
EXPECT(assert_equal(exactSolution, deltaDirect, 1e-7));
deltaDirect.print("Direct");
//deltaDirect.print("Direct");
// Solve the system using PCG
// With Dummy preconditioner
// Solve the system using Preconditioned Conjugate Gradient solver
// Common PCG parameters
gtsam::PCGSolverParameters::shared_ptr pcg = boost::make_shared<gtsam::PCGSolverParameters>();
pcg->preconditioner_ = boost::make_shared<gtsam::DummyPreconditionerParameters>();
pcg->setMaxIterations(500);
pcg->setEpsilon_abs(0.0);
pcg->setEpsilon_rel(0.0);
//pcg->setVerbosity("ERROR");
// With Dummy preconditioner
pcg->preconditioner_ = boost::make_shared<gtsam::DummyPreconditionerParameters>();
VectorValues deltaPCGDummy = PCGSolver(*pcg).optimize(simpleGFG);
EXPECT(assert_equal(exactSolution, deltaPCGDummy, 1e-7));
deltaPCGDummy.print("PCG Dummy");
//deltaPCGDummy.print("PCG Dummy");
// With Block-Jacobi preconditioner
gtsam::PCGSolverParameters::shared_ptr pcgJacobi = boost::make_shared<gtsam::PCGSolverParameters>();
pcgJacobi->preconditioner_ = boost::make_shared<gtsam::BlockJacobiPreconditionerParameters>();
pcgJacobi->setMaxIterations(1500);// It takes more than 1000 iterations for this test
pcgJacobi->setEpsilon_abs(0.0);
pcgJacobi->setEpsilon_rel(0.0);
VectorValues deltaPCGJacobi = PCGSolver(*pcgJacobi).optimize(simpleGFG);
pcg->preconditioner_ = boost::make_shared<gtsam::BlockJacobiPreconditionerParameters>();
// It takes more than 1000 iterations for this test
pcg->setMaxIterations(1500);
VectorValues deltaPCGJacobi = PCGSolver(*pcg).optimize(simpleGFG);
// Failed!
EXPECT(assert_equal(exactSolution, deltaPCGJacobi, 1e-5));
deltaPCGJacobi.print("PCG Jacobi");
//deltaPCGJacobi.print("PCG Jacobi");
}
/* ************************************************************************* */
@ -89,45 +87,38 @@ TEST(PCGSolver, simpleLinearSystem) {
simpleGFG += JacobianFactor(0, (Matrix(2,2)<< 1, 0, 0, 1).finished(), (Vector(2) << 0, 0).finished(), unit2);
simpleGFG += JacobianFactor(1, (Matrix(2,2)<< 1, 0, 0, 1).finished(), (Vector(2) << 0, 0).finished(), unit2);
simpleGFG += JacobianFactor(2, (Matrix(2,2)<< 1, 0, 0, 1).finished(), (Vector(2) << 0, 0).finished(), unit2);
//simpleGFG.print("Factors\n");
// Expected solution
VectorValues expectedSolution;
expectedSolution.insert(0, (Vector(2) << 0.100498, -0.196756).finished());
expectedSolution.insert(2, (Vector(2) << -0.0990413, -0.0980577).finished());
expectedSolution.insert(1, (Vector(2) << -0.0973252, 0.100582).finished());
//expectedSolution.print("Expected");
// Solve the system using direct method
VectorValues deltaDirect = simpleGFG.optimize();
EXPECT(assert_equal(expectedSolution, deltaDirect, 1e-5));
expectedSolution.print("Expected");
deltaDirect.print("Direct");
//deltaDirect.print("Direct");
// Solve the system using PCG
VectorValues initial;
initial.insert(0, (Vector(2) << 0.1, -0.1).finished());
initial.insert(1, (Vector(2) << -0.1, 0.1).finished());
initial.insert(2, (Vector(2) << -0.1, -0.1).finished());
// With Dummy preconditioner
// Solve the system using Preconditioned Conjugate Gradient solver
// Common PCG parameters
gtsam::PCGSolverParameters::shared_ptr pcg = boost::make_shared<gtsam::PCGSolverParameters>();
pcg->preconditioner_ = boost::make_shared<gtsam::DummyPreconditionerParameters>();
pcg->setMaxIterations(500);
pcg->setEpsilon_abs(0.0);
pcg->setEpsilon_rel(0.0);
//pcg->setVerbosity("ERROR");
VectorValues deltaPCGDummy = PCGSolver(*pcg).optimize(simpleGFG, KeyInfo(simpleGFG), std::map<Key,Vector>(), initial);
// Failed!
// With Dummy preconditioner
pcg->preconditioner_ = boost::make_shared<gtsam::DummyPreconditionerParameters>();
VectorValues deltaPCGDummy = PCGSolver(*pcg).optimize(simpleGFG);
EXPECT(assert_equal(expectedSolution, deltaPCGDummy, 1e-5));
deltaPCGDummy.print("PCG Dummy");
//deltaPCGDummy.print("PCG Dummy");
// Solve the system using Preconditioned Conjugate Gradient
// With Block-Jacobi preconditioner
pcg->preconditioner_ = boost::make_shared<gtsam::BlockJacobiPreconditionerParameters>();
VectorValues deltaPCGJacobi = PCGSolver(*pcg).optimize(simpleGFG, KeyInfo(simpleGFG), std::map<Key,Vector>(), initial);
// Failed!
VectorValues deltaPCGJacobi = PCGSolver(*pcg).optimize(simpleGFG);
EXPECT(assert_equal(expectedSolution, deltaPCGJacobi, 1e-5));
deltaPCGJacobi.print("PCG Jacobi");
//deltaPCGJacobi.print("PCG Jacobi");
}