Apply a modified Givens transformation.

Perform a series of row interchanges on an input matrix.

LAPACK routine to find the index of the last non-zero row in a input matrix.

Find the index of the first element having the maximum absolute value.

Apply a plane rotation.

This library contains some useful classes and functions for dealing with linear algebra in JavaScript. The library was orginal written in TypeScript and then compiles into pure JavaScript.

🧮 Solve linear Diophantine equations of the form ax + by = c

Multiply a vector `x` by a scalar `alpha`.

Extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.

Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.

Compute the dot product of two one-dimensional ndarrays.

Calculate the dot product of two single-precision floating-point vectors with extended accumulation.

Base (i.e., lower-level) LAPACK routines.

Project for evaluating the efficiency of 4 SMA over the shares of some companies.

Multiply a vector `x` by a scalar `alpha`.

Compute an `LU` factorization of a real tridiagonal matrix `A` using elimination with partial pivoting and row interchanges

Interchange two single-precision floating-point vectors.

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

Add a scalar constant to each element in a double-precision floating-point strided array.

Generate a linearly spaced two-dimensional nested numeric array.