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`

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`

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`