Uses of Class
cern.colt.matrix.tfloat.algo.solver.AbstractFloatIterativeSolver

Packages that use AbstractFloatIterativeSolver

cern.colt.matrix.tfloat.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.

Uses of AbstractFloatIterativeSolver in cern.colt.matrix.tfloat.algo.solver

Subclasses of AbstractFloatIterativeSolver in cern.colt.matrix.tfloat.algo.solver

class	FloatBiCG BiCG solver.
class	FloatBiCGstab BiCG stablized solver.
class	FloatCG Conjugate Gradients solver.
class	FloatCGLS 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	FloatCGS Conjugate Gradients squared solver.
class	FloatChebyshev Chebyshev solver.
class	FloatGMRES GMRES solver.
class	FloatHyBR 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	FloatIR Iterative Refinement.
class	FloatMRNSD 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	FloatQMR Quasi-Minimal Residual method.