Bug567 : Fix iterative solvers to immediately return when the initial guess is the true solution and for trivial solution

This commit is contained in:
Desire NUENTSA 2013-03-20 16:15:18 +01:00
parent 22460edb49
commit da6219b19d
4 changed files with 59 additions and 32 deletions

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@ -44,6 +44,11 @@ bool bicgstab(const MatrixType& mat, const Rhs& rhs, Dest& x,
VectorType r0 = r;
RealScalar r0_sqnorm = rhs.squaredNorm();
if(r0_sqnorm == 0)
{
x.setZero();
return true;
}
Scalar rho = 1;
Scalar alpha = 1;
Scalar w = 1;

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@ -41,21 +41,29 @@ void conjugate_gradient(const MatrixType& mat, const Rhs& rhs, Dest& x,
int n = mat.cols();
VectorType residual = rhs - mat * x; //initial residual
VectorType p(n);
RealScalar rhsNorm2 = rhs.squaredNorm();
if(rhsNorm2 == 0)
{
x.setZero();
iters = 0;
tol_error = 0;
return;
}
RealScalar threshold = tol*tol*rhsNorm2;
RealScalar residualNorm2 = residual.squaredNorm();
if (residualNorm2 < threshold)
{
iters = 0;
tol_error = sqrt(residualNorm2 / rhsNorm2);
return;
}
VectorType p(n);
p = precond.solve(residual); //initial search direction
VectorType z(n), tmp(n);
RealScalar absNew = internal::real(residual.dot(p)); // the square of the absolute value of r scaled by invM
RealScalar rhsNorm2 = rhs.squaredNorm();
// Check Zero right hand side
if(!rhsNorm2)
{
x.setZero();
return;
}
RealScalar residualNorm2 = 0;
RealScalar threshold = tol*tol*rhsNorm2;
int i = 0;
while(i < maxIters)
{

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@ -176,25 +176,32 @@ template<typename Solver> void check_sparse_spd_solving(Solver& solver)
// generate the problem
Mat A, halfA;
DenseMatrix dA;
int size = generate_sparse_spd_problem(solver, A, halfA, dA);
// generate the right hand sides
int rhsCols = internal::random<int>(1,16);
double density = (std::max)(8./(size*rhsCols), 0.1);
SpMat B(size,rhsCols);
DenseVector b = DenseVector::Random(size);
DenseMatrix dB(size,rhsCols);
initSparse<Scalar>(density, dB, B, ForceNonZeroDiag);
for (int i = 0; i < g_repeat; i++) {
int size = generate_sparse_spd_problem(solver, A, halfA, dA);
// generate the right hand sides
int rhsCols = internal::random<int>(1,16);
double density = (std::max)(8./(size*rhsCols), 0.1);
SpMat B(size,rhsCols);
DenseVector b = DenseVector::Random(size);
DenseMatrix dB(size,rhsCols);
initSparse<Scalar>(density, dB, B, ForceNonZeroDiag);
check_sparse_solving(solver, A, b, dA, b);
check_sparse_solving(solver, halfA, b, dA, b);
check_sparse_solving(solver, A, dB, dA, dB);
check_sparse_solving(solver, halfA, dB, dA, dB);
check_sparse_solving(solver, A, B, dA, dB);
check_sparse_solving(solver, halfA, B, dA, dB);
// check only once
if(i==0)
{
b = DenseVector::Zero(size);
check_sparse_solving(solver, A, b, dA, b);
}
}
// First, get the folder
#ifdef TEST_REAL_CASES
if (internal::is_same<Scalar, float>::value
@ -265,21 +272,28 @@ template<typename Solver> void check_sparse_square_solving(Solver& solver)
Mat A;
DenseMatrix dA;
int size = generate_sparse_square_problem(solver, A, dA);
A.makeCompressed();
DenseVector b = DenseVector::Random(size);
DenseMatrix dB(size,rhsCols);
SpMat B(size,rhsCols);
double density = (std::max)(8./(size*rhsCols), 0.1);
initSparse<Scalar>(density, dB, B, ForceNonZeroDiag);
B.makeCompressed();
for (int i = 0; i < g_repeat; i++) {
int size = generate_sparse_square_problem(solver, A, dA);
A.makeCompressed();
DenseVector b = DenseVector::Random(size);
DenseMatrix dB(size,rhsCols);
SpMat B(size,rhsCols);
double density = (std::max)(8./(size*rhsCols), 0.1);
initSparse<Scalar>(density, dB, B, ForceNonZeroDiag);
B.makeCompressed();
check_sparse_solving(solver, A, b, dA, b);
check_sparse_solving(solver, A, dB, dA, dB);
check_sparse_solving(solver, A, B, dA, dB);
// check only once
if(i==0)
{
b = DenseVector::Zero(size);
check_sparse_solving(solver, A, b, dA, b);
}
}
// First, get the folder
#ifdef TEST_REAL_CASES
if (internal::is_same<Scalar, float>::value

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@ -349,7 +349,7 @@ public:
void _solve(const Rhs& b, Dest& x) const
{
x = b;
if(!x.squaredNorm()) return; // Check Zero right hand side
if(x.squaredNorm() == 0) return; // Check Zero right hand side
_solveWithGuess(b,x);
}