pymatsolver.BiCGJacobi

class pymatsolver.BiCGJacobi(A, maxiter=1000, rtol=1e-06, atol=0.0, check_accuracy=False, check_rtol=1e-06, check_atol=0, **kwargs)

Diagonal pre-conditioned BiCG solver.

Parameters:

Amatrix

The matrix to solve, must have a diagonal() method.

maxiterint, optional

The maximum number of BiCG iterations to perform.

rtolfloat, optional

The relative tolerance for the BiCG solver to terminate.

atolfloat, optional

The absolute tolerance for the BiCG solver to terminate.

check_accuracybool, optional

Whether to check the accuracy of the solution.

check_rtolfloat, optional

The relative tolerance to check against for accuracy.

check_atolfloat, optional

The absolute tolerance to check against for accuracy.

**kwargs

Extra keyword arguments passed to the base class.

Attributes:

A

The matrix to solve with.

T

The transposed solve operator

atol

check_accuracy

Whether the check the accuracy after a solve.

check_atol

The absolute tolerance used to check the solve operation.

check_rtol

The relative tolerance used to check the solve operation.

dtype

The data type of the matrix.

is_hermitian

Whether the matrix is hermitian.

is_positive_definite

Whether the matrix is positive definite.

is_real

Whether the matrix is real.

is_symmetric

Whether the matrix is symmetric.

maxiter

rtol

shape

The input matrix dimensions.

Methods

conj()	Return the complex conjugate version of this solver.
conjugate()	Return the complex conjugate version of this solver.
factor([A])	(Re)factor the matrix.
solve(rhs)	Solves the system of equations for the given right hand side.
transpose()	Return the transposed solve operator.

clean
get_attributes