Standard library basic linear algebra subprograms (BLAS).

[mod] High performance linear algebra ~~ Added sparse matrix/vector support and boost of AX=B solve

Standard library basic linear algebra subprograms (BLAS).

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

Interchange two single-precision floating-point vectors.

Compute the sum of absolute values (L1 norm).

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.

Add a constant to each strided array element and compute the sum using an improved Kahan–Babuška algorithm.

Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.

Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation.

Add a constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.

Multiply a vector by a constant.

Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.

Interchange two vectors.

Calculate the cumulative sum of strided array elements.

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

Calculate the sum of single-precision floating-point strided array elements.

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

Reverse a double-precision floating-point strided array in-place.

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