Algebra Packages

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

Interchange two single-precision floating-point vectors.

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`.

LAPACK routines.

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

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

BLAS.

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

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.

Apply a plane rotation.

Interchanges two complex single-precision floating-point vectors.

Compute the sum of absolute values (L1 norm).

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

Copy values from x into y.

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

Interchange two double-precision floating-point vectors.

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