LAPACK routines.
C++ bindings for all single- and double-precision CLAPACK (Linear Algebra Package) routines.
BLAS Level 1 operations for ndarrays
node.js implementation of James Coglan's "Sylvester" matrix math library.
node-lapack ===========
Calculates the eigenvalues and normalized eigenvectors for a matrix, using Lapack
Common symbols and type definitions shared across base LAPACK APIs.
A high performance linear algebra library.
Error handler for LAPACK routines.
Portable mixed-precision BLAS-like vector math library for x86 and ARM
Copy all or part of a matrix A to another matrix B.
node.js implementation of James Coglan's "Sylvester" matrix math library. browserify compatible
Bluemath Linear Algebra library
Perform a series of row interchanges on an input matrix.
LAPACK routine to find the index of the last non-zero row in an input matrix.
LAPACK routine to find the index of the last non-zero column in an input matrix.
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
LAPACK routine to calculate sqrt(x^2 + y^2) in a manner which doesn't cause unnecessary overflow.
Determine double-precision floating-point machine parameters.
Copy all or part of a matrix A to another matrix B.
Base (i.e., lower-level) LAPACK routines.
LAPACK routine to calculate sqrt(x^2 + y^2 + z^2) in a manner which doesn't cause unnecessary overflow.
Conjugate each element in a single-precision complex floating-point vector.
Set the off-diagonal elements and the diagonal elements of a single-precision complex floating-point matrix to specified values.
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