mindspore.scipy

Scipy-like interfaces in mindspore.

mindspore.scipy.linalg

Linear algebra submodule.

 API Name Description Supported Platforms `mindspore.scipy.linalg.block_diag` Create a block diagonal matrix from provided arrays. `CPU` `GPU` `mindspore.scipy.linalg.cho_factor` Compute the cholesky decomposition of a matrix, to use in cho_solve. `CPU` `GPU` `mindspore.scipy.linalg.cholesky` Compute the cholesky decomposition of a matrix. `CPU` `GPU` `mindspore.scipy.linalg.cho_solve` Given the cholesky factorization of a, solve the linear equation `CPU` `GPU` `mindspore.scipy.linalg.eigh` Solve a standard or generalized eigenvalue problem for a complex Hermitian or real symmetric matrix. `CPU` `GPU` `mindspore.scipy.linalg.inv` Compute the inverse of a matrix. `CPU` `GPU` `mindspore.scipy.linalg.lu` Compute pivoted LU decomposition of a general matrix. `CPU` `GPU` `mindspore.scipy.linalg.lu_factor` Compute pivoted LU decomposition of a square matrix, and its outputs can be directly used as the inputs of lu_solve. `CPU` `GPU` `mindspore.scipy.linalg.solve_triangular` Assuming a is a batched triangular matrix, solve the equation `CPU` `GPU`

mindspore.scipy.optimize

Optimize submodule.

 API Name Description Supported Platforms `mindspore.scipy.optimize.line_search` Inexact line search that satisfies strong Wolfe conditions. `CPU` `GPU` `mindspore.scipy.optimize.minimize` Minimization of scalar function of one or more variables. `CPU` `GPU`

mindspore.scipy.sparse.linalg

Sparse linear algebra submodule.

 API Name Description Supported Platforms `mindspore.scipy.sparse.linalg.cg` Use Conjugate Gradient iteration to solve the linear system: `CPU` `GPU` `mindspore.scipy.sparse.linalg.gmres` Given given A and b, GMRES solves the linear system: `CPU` `GPU`