bundles / scipy 1.17.1 / scipy / sparse / linalg / _dsolve / _superlu / gstrs
built-in
scipy.sparse.linalg._dsolve._superlu:gstrs
Summary
solves the linear system A*x = b via backward and forward substitution, with either A=L*U, A=(L*U)^T, or A=conj(L*U)^T. trans says whether the matrix is transposed ("T"), conjugate transposed ("H"), or normal ("N"). L is specified in the compressed sparse column format via parameters N,nnz,nzvals,rowind,colptr. U is specified in the compressed sparse column format via parameters N,nnz,nzvals,rowind,colptr. b is specified as a dense vector.
Aliases
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scipy.sparse.linalg._dsolve._superlu.gstrs