Transa ( anspose) – Indicates whether the matrix \(A\) must be transposed. It must not overlap with the other input arrays. The result of this operation is stored in \(C\). The matrix \(C\) has \(m\) rows and \(n\) columns, and the other matrices must have compatible dimensions. The function \(op(X)\)ĭenotes \(X\) if transX is transpose.no, or \(X^T\) if set to transpose.yes. Where \(\alpha,\beta\) are two scalar values. Lvalc ( float ) – The values corresponding to row indexed stored in lsubc. Lsubc ( int ) – Row indexes for each column stored in increasing order. Lensubnval ( int) – Number of elements in lsubc and lvalc. Lptrc ( int ) – lptrc is a pointer to the first row index and value in column \(j\) of \(L\). Lnzc ( int ) – lnzc is the number of non zero elements in column \(j\) of \(L\). Perm ( int ) – Permutation array used to specify the permutation matrix \(P\) computed by the function.ĭiag ( float ) – The diagonal elements of matrix \(D\). (input)Īvalc ( float ) – The value corresponding to row indexed stored in asubc. (input)Īsubc ( int ) – Row indexes for each column stored in increasing order. (input)Īptrc ( int ) – aptrc is a pointer to the first element in column \(j\) of \(A\). (input)Īnzc ( int ) – anzc is the number of nonzeros in the \(j\)-th column of \(A\). Tolsingular ( float) – A positive parameter controlling when a pivot is declared zero. Ordermethod ( int) – If nonzero, then a sparsity preserving ordering will be employed. NOTE: API change in version 10: in versions up to 9 the argument in this position indicated whether to use multithreading or not. Numthreads ( int) – The number threads that can be used to do the computation.
Here \(\rho\) is set equal to value of tolsingular. Therefore, if \(A\) is sufficiently positive definite then \(D\) will be the zero matrix.
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