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Copy all or part of a matrix A to another matrix B.
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
Source code for the blog post "The Accessor Protocol": https://blog.stdlib.io/introducing-the-accessor-protocol-for-array-like-objects/
Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
Create an iterator which iterates over interleaved subarrays.
Create an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions.
Create an iterator which iterates over each subarray in a stack of subarrays.
Create an iterator which iterates over each view along a specified dimension.
Convert input general matrix from row-major to column-major layout or vice versa.
Perform a series of row interchanges on an input matrix.
Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
Convert a matrix from row-major layout to column-major layout or vice versa.
Create an iterator which cumulatively tests whether every iterated value fails a test implemented by a predicate function.
Convert an ndarray-like object to an ndarray.
Apply a callback to elements in an input ndarray and assign results to elements in an output ndarray.
Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
Convert an ndarray-like object to an ndarray.
Return a new array containing every element from an input array, except for the element at a specified index.
Standard library basic linear algebra subprograms (BLAS).
Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
Determine double-precision floating-point machine parameters.
Compute `x * ln(y)` so that the result is `0` if `x = 0` for single-precision floating-point numbers `x` and `y`.