Standard library basic linear algebra subprograms (BLAS).

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

LAPACK routines.

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.

Standard library basic linear algebra subprograms (BLAS).

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

Compute the sum of absolute values (L1 norm).

Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.

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

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.

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

Add a constant to each element in a strided array.

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

Add a constant to each double-precision floating-point strided array element and compute the sum 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.

Calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Sort a single-precision floating-point strided array using heapsort.

Calculate the dot product of two vectors.

Fill a strided array according to a provided callback function.

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