Uses of Class
cern.colt.matrix.tdouble.algo.solver.AbstractDoubleIterativeSolver

Packages that use AbstractDoubleIterativeSolver

cern.colt.matrix.tdouble.algo.solver

Iterative solvers BiCG - BiConjugate gradients. BiCGstab - BiConjugate gradients stabilized. CG - Conjugate gradients. CGS - Conjugate gradients squared. Chebyshev - The Chebyshev iteration for symmetrical, positive definite matrices. GMRES - Generalized minimal residual using restart. IR - Iterative refinement (Richardson's method). QMR - Quasi-minimal residual. HyBR - Hybrid Bidiagonalization Regularization. MRNSD - Modified Residual Norm Steepest Descent. CGLS - Conjugate Gradient for Least Squares.

Uses of AbstractDoubleIterativeSolver in cern.colt.matrix.tdouble.algo.solver

Subclasses of AbstractDoubleIterativeSolver in cern.colt.matrix.tdouble.algo.solver

class	DoubleBiCG BiCG solver.
class	DoubleBiCGstab BiCG stablized solver.
class	DoubleCG Conjugate Gradients solver.
class	DoubleCGLS CGLS is Conjugate Gradient for Least Squares method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise.
class	DoubleCGS Conjugate Gradients squared solver.
class	DoubleChebyshev Chebyshev solver.
class	DoubleGMRES GMRES solver.
class	DoubleHyBR HyBR is a Hybrid Bidiagonalization Regularization method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise The method combines an iterative Lanczos Bidiagonalization (LBD) Method with an SVD-based regularization method to stabilize the semiconvergence behavior that is characteristic of many ill-posed problems.
class	DoubleIR Iterative Refinement.
class	DoubleMRNSD MRNSD is Modified Residual Norm Steepest Descent method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise.
class	DoubleQMR Quasi-Minimal Residual method.