Package 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.

See:
Description

Interface Summary

FloatIterationMonitor	Monitors the iterative solution process for convergence and divergence.
FloatIterationReporter	Reports on the progress of an iterative solver
FloatIterativeSolver	Iterative linear solver.

Class Summary

AbstractFloatIterationMonitor	Partial implementation of an iteration reporter
AbstractFloatIterativeSolver	Partial implementation of an iterative solver
CGLSFloatIterationMonitor
DefaultFloatIterationMonitor	Default iteration monitor.
FloatBiCG	BiCG solver.
FloatBiCGstab	BiCG stablized solver.
FloatCG	Conjugate Gradients solver.
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.
FloatCGS	Conjugate Gradients squared solver.
FloatChebyshev	Chebyshev solver.
FloatGivensRotation	Givens plane rotation
FloatGMRES	GMRES solver.
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.
FloatIR	Iterative Refinement.
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.
FloatQMR	Quasi-Minimal Residual method.
HyBRFloatIterationMonitor
MRNSDFloatIterationMonitor
NoFloatIterationReporter	An iteration reporter which does nothing.

Enum Summary

FloatNotConvergedException.Reason

Possible reasons for lack of convergence

Exception Summary

FloatNotConvergedException	Signals lack of convergence of an iterative process
IterativeSolverFloatNotConvergedException	Exception for lack of convergence in a linear problem.

Package cern.colt.matrix.tfloat.algo.solver Description

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.