dask.array.linalg.solve

dask.array.linalg.solve¶

dask.array.linalg.solve(a, b, sym_pos=None, assume_a='gen')[source]¶

Solve the equation a x = b for x. By default, use LU decomposition and forward / backward substitutions. When assume_a = "pos" use Cholesky decomposition.

Parameters

a(M, M) array_like: A square matrix.
b(M,) or (M, N) array_like: Right-hand side matrix in a x = b.
sym_posbool, optional: Assume a is symmetric and positive definite. If True, use Cholesky decomposition.

Note

sym_pos is deprecated and will be removed in a future version. Use assume_a = 'pos' instead.
assume_a{‘gen’, ‘pos’}, optional: Type of data matrix. It is used to choose the dedicated solver. Note that Dask does not support ‘her’ and ‘sym’ types.

Changed in version 2022.8.0: assume_a = 'pos' was previously defined as sym_pos = True.

Returns

x(M,) or (M, N) Array: Solution to the system a x = b. Shape of the return matches the shape of b.