Iterative method for Hermitian positive definite matrices Iterative method for arbitrary square matrices The tolerance used to terminate iterations How to apply a preconditioner ( 'Left' or 'Right' )Ī norm function that computes a norm of the residual of the solution The size of the Krylov basis (GMRES only ) The following suboptions can be specified for the method 'Krylov': Explicit Method settings for approximate numeric matrices include:Ĭholesky method for positive definite Hermitian matrices.Explicit Method settings for exact and symbolic matrices include:īareiss method of division-free row reduction.With Method-> Automatic, the method is automatically selected depending upon input.The ZeroTest option only applies to exact and symbolic matrices.Test to determine when expressions are zero LinearSolve has the following options and settings:.For underdetermined systems, LinearSolve will return one of the possible solutions Solve will return a general solution.LinearSolve is equivalent to LinearSolve.LinearSolve and LinearSolveFunction provide an efficient way to solve the same approximate numerical linear system many times.The matrix m can be square or rectangular.The argument b can be either a vector or a matrix.LinearSolve works on both numerical and symbolic matrices, as well as SparseArray objects.

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