Ndarray Packages

Test if a value is a 1-dimensional ndarray-like object containing double-precision floating-point numbers.

Copy all or part of a matrix A to another matrix B.

Perform a series of row interchanges on an input matrix.

Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.

Create an iterator which steps according to a provided callback function.

Base (i.e., lower-level) basic linear algebra subprograms (BLAS).

Base BLAS assertion utilities.

Test if an input value is a BLAS diagonal type.

Test if an input value is a BLAS memory layout.

Test if an input value is a BLAS matrix triangle.

Test if an input value is a BLAS operation side.

Test if an input value is a BLAS transpose operation.

Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant and add the result to a single-precision complex floating-point vector.

Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.

Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.

Test if a value is a persymmetric matrix.

Test if a value is a 2-dimensional ndarray-like object containing single-precision complex floating-point numbers.

Test if a value is an ndarray-like object containing single-precision complex floating-point numbers.

Test if a value is a 1-dimensional ndarray-like object containing single-precision complex floating-point numbers.

Apply a plane rotation.