JSPM

Found 228 results for blas

@stdlib/blas-ext-base-gnansumkbn

Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.

  • v0.2.2
  • 8.81
  • Published

blas-daxpy

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

  • v1.0.3
  • 8.81
  • Published

@stdlib/blas-ext-base-dapxsumkbn2

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

  • v0.2.2
  • 8.75
  • Published

blas-idamax

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

  • v1.0.0
  • 8.35
  • Published

@stdlib/blas-ext-base-dsnansum

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

  • v0.2.2
  • 8.18
  • Published

ndarray-blas-trsv

BLAS Level 2 TRSV (triangular solve) for ndarrays

  • v1.0.1
  • 8.13
  • Published

@stdlib/blas-ext-base-sdsnansum

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

  • v0.2.2
  • 8.13
  • Published

blas-dasum

Computes the sum of absolute values (L1 norm).

  • v1.0.2
  • 8.13
  • Published

@stdlib/blas-ext-base-scusumpw

Calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.

  • v0.2.2
  • 7.91
  • Published

@stdlib/blas-ext-base-gnansumkbn2

Calculate the sum of strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.

  • v0.2.2
  • 7.35
  • Published

anny.lapack

This is a partial port from CLAPACK

  • v0.1.4
  • 7.35
  • Published

blas-ddot

Computes the dot product of x and y.

  • v1.0.0
  • 7.35
  • Published

@stdlib/blas-ext-base-dsnansumors

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.

  • v0.2.2
  • 7.35
  • Published

@stdlib/blas-ext-base-snansumkbn

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.

  • v0.2.2
  • 7.34
  • Published

@stdlib/blas-ext-base-snansum

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

  • v0.2.2
  • 7.29
  • Published

@stdlib/blas-ext-base-sapx

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

  • v0.2.2
  • 6.49
  • Published

@stdlib/blas-ext-base-sdssum

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

  • v0.2.2
  • 6.44
  • Published

@stdlib/blas-ext-base-dnansumors

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

  • v0.2.2
  • 6.39
  • Published

@stdlib/blas-ext-base-dnansumkbn2

Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.

  • v0.2.2
  • 6.27
  • Published

ndarray-blas-gemm-complex

BLAS-like Level 3 Complex GEMM (matrix-matrix multiplication) for ndarrays

  • v1.0.2
  • 5.52
  • Published

@stdlib/blas-base-scabs1

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

  • v0.0.2
  • 5.38
  • Published

blas-dswap

Interchanges the elements of x and y.

  • v1.0.0
  • 5.33
  • Published

ndarray-blas-gemv

BLAS Level 2 GEMV (Matrix-Vector multiply) for ndarrays

  • v1.0.4
  • 2.38
  • Published

vectrix

A easy-to-use math library to perform vector and matrix operations in JavaScript/TypeScript, designed for the needs of graphics apis like WebGL or WebGPU.

    • v0.2.1
    • 0.00
    • Published

    @stdlib/blas-base-caxpy

    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.

    • v0.1.0
    • 0.00
    • Published