JSPM

Copy values from x into y.

Multiply a double-precision floating-point vector by a constant.

Calculate the dot product of two vectors.

Calculate the dot product of two vectors.

Calculate the dot product of two double-precision floating-point vectors.

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

Multiply a vector x by a constant and add the result to y.

Copy values from x into y.

Multiply a vector by a constant.

Interchanges two complex single-precision floating-point vectors.

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

Interchange two double-precision floating-point vectors.

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

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

Interchanges two complex double-precision floating-point vectors.

Copy values from x into y.

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

Compute the sum of absolute values (L1 norm).

Multiply a single-precision floating-point vector by a constant.

Compute the L2-norm of a complex double-precision floating-point vector.

Apply a plane rotation.

Compute the sum of absolute values (L1 norm).

Multiply x by a constant and add the result to y.

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

Compute the L2-norm of a complex single-precision floating-point vector.

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

Interchange two single-precision floating-point vectors.

Multiply a vector x by a constant and add the result to y.

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

Apply a plane rotation.

Calculate the dot product of two double-precision floating-point vectors.

Basic linear algebra subroutines (BLAS).

Error handler for BLAS/LAPACK routines.

Computes the L2 norm (Euclidean norm).

Apply a plane rotation.

Compute the sum of absolute values (L1 norm).

Apply a modified Givens transformation.

Apply a modified Givens transformation.

Apply a plane rotation.

Interchange two vectors.

Interchange two vectors.

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

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

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

Construct a Givens plane rotation.

Construct a Givens plane rotation.

Interchange two single-precision floating-point vectors.

Interchange two double-precision floating-point vectors.

Copies values from x into y.

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

Scales elements of `x` by a constant `alpha`.

Multiplies x and a constant and adds the result to y.

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

Computes the sum of absolute values (L1 norm).

Finds the first element equal to the maximum absolute value of x and returns the element index.

Perform a series of row interchanges on an input matrix.

A PCRE2 binding for node.js

Computes the dot product of x and y.

Performs the rank 1 operation A = alpha⋅x⋅y^T + A.

Interchanges the elements of x and y.

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

subroutines used by computes

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.