lgmres(A, b, x0=None, tol=1e-05, maxiter=1000, M=None, callback=None, inner_m=30, outer_k=3, outer_v=None, store_outer_Av=True, prepend_outer_v=False, atol=None)

Notes

Parameters

A : {sparse matrix, ndarray, LinearOperator}

b : ndarray

x0 : ndarray

tol, atol : float, optional

maxiter : int, optional

M : {sparse matrix, ndarray, LinearOperator}, optional

callback : function, optional

inner_m : int, optional

outer_k : int, optional

outer_v : list of tuples, optional

store_outer_Av : bool, optional

prepend_outer_v : bool, optional

Returns

x : ndarray

info : int

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.sparse.linalg._isolve.lgmres:lgmres scipy.optimize._nonlin:KrylovJacobian scipy.optimize._nonlin:newton_krylov

Local connectivity graph

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SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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