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@ -78,7 +78,8 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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const RealScalar r0Norm = r0.norm();
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// is initial guess already good enough?
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if(r0Norm == 0) {
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if(r0Norm == 0)
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{
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tol_error = 0;
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return true;
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}
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@ -95,10 +96,10 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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Ref<VectorType> H0_tail = H.col(0).tail(m - 1);
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RealScalar beta;
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r0.makeHouseholder(H0_tail, tau.coeffRef(0), beta);
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w(0)=(Scalar) beta;
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for (Index k = 1; k <= restart; ++k) {
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w(0) = Scalar(beta);
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for (Index k = 1; k <= restart; ++k)
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{
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++iters;
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v = VectorType::Unit(m, k - 1);
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@ -117,29 +118,30 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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v.tail(m - i).applyHouseholderOnTheLeft(H.col(i).tail(m - i - 1), tau.coeffRef(i), workspace.data());
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}
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if (v.tail(m - k).norm() != 0.0) {
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if (k <= restart) {
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if (v.tail(m - k).norm() != 0.0)
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{
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if (k <= restart)
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{
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// generate new Householder vector
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Ref<VectorType> Hk_tail = H.col(k).tail(m - k - 1);
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v.tail(m - k).makeHouseholder(Hk_tail, tau.coeffRef(k), beta);
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// apply Householder reflection H_{k} to v
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v.tail(m - k).applyHouseholderOnTheLeft(Hk_tail, tau.coeffRef(k), workspace.data());
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}
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}
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if (k > 1) {
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for (Index i = 0; i < k - 1; ++i) {
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if (k > 1)
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{
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for (Index i = 0; i < k - 1; ++i)
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{
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// apply old Givens rotations to v
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v.applyOnTheLeft(i, i + 1, G[i].adjoint());
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}
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}
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if (k<m && v(k) != (Scalar) 0) {
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if (k<m && v(k) != (Scalar) 0)
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{
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// determine next Givens rotation
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G[k - 1].makeGivens(v(k - 1), v(k));
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@ -153,11 +155,11 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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bool stop = (k==m || abs(w(k)) < tol * r0Norm || iters == maxIters);
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if (stop || k == restart) {
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if (stop || k == restart)
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{
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// solve upper triangular system
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VectorType y = w.head(k);
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H.topLeftCorner(k, k).template triangularView < Eigen::Upper > ().solveInPlace(y);
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H.topLeftCorner(k, k).template triangularView <Upper>().solveInPlace(y);
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// use Horner-like scheme to calculate solution vector
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VectorType x_new = y(k - 1) * VectorType::Unit(m, k - 1);
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@ -165,7 +167,8 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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// apply Householder reflection H_{k} to x_new
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x_new.tail(m - k + 1).applyHouseholderOnTheLeft(H.col(k - 1).tail(m - k), tau.coeffRef(k - 1), workspace.data());
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for (Index i = k - 2; i >= 0; --i) {
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for (Index i = k - 2; i >= 0; --i)
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{
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x_new += y(i) * VectorType::Unit(m, i);
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// apply Householder reflection H_{i} to x_new
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x_new.tail(m - i).applyHouseholderOnTheLeft(H.col(i).tail(m - i - 1), tau.coeffRef(i), workspace.data());
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@ -173,9 +176,12 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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x += x_new;
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if (stop) {
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if (stop)
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{
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return true;
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} else {
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}
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else
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{
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k=0;
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// reset data for restart
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@ -190,12 +196,8 @@ bool gmres(const MatrixType & mat, const Rhs & rhs, Dest & x, const Precondition
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// generate first Householder vector
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r0.makeHouseholder(H0_tail, tau.coeffRef(0), beta);
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w(0)=(Scalar) beta;
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}
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}
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}
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return false;
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