JSPM

Found 214 results for float32array

@stdlib/blas-ext-base-snansumkbn2

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

  • v0.2.2
  • 9.27
  • Published

@stdlib/stats-base-sdsmeanors

Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.

  • v0.2.2
  • 9.27
  • Published

@stdlib/stats-base-snanmin

Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.

  • v0.2.2
  • 9.06
  • Published

@stdlib/stats-base-dsnanmeanpn

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.

  • v0.2.2
  • 9.06
  • Published

@stdlib/stats-base-smean

Calculate the arithmetic mean of a single-precision floating-point strided array.

  • v0.2.2
  • 9.06
  • Published

@stdlib/stats-base-snanvarianceyc

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 9.04
  • Published

@stdlib/blas-ext-base-snansumors

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

  • v0.2.2
  • 9.02
  • Published

@stdlib/stats-base-snanvariancewd

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

  • v0.2.2
  • 8.89
  • Published

@stdlib/stats-base-dsnanmeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.

  • v0.2.2
  • 8.66
  • Published

@stdlib/utils-prepend

Add elements from one collection to the beginning of another collection.

  • v0.2.2
  • 8.66
  • Published

@stdlib/stats-base-smskrange

Calculate the range of a single-precision floating-point strided array according to a mask.

  • v0.2.2
  • 8.47
  • Published

@stdlib/stats-base-snanminabs

Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.

  • v0.2.2
  • 8.43
  • Published

@stdlib/stats-base-snanrange

Calculate the range of a single-precision floating-point strided array, ignoring NaN values.

  • v0.2.2
  • 8.43
  • Published

@stdlib/stats-base-svarianceyc

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 8.32
  • Published

@stdlib/stats-base-svariancech

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

  • v0.2.2
  • 8.32
  • 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
  • 8.19
  • Published

@stdlib/math-strided-special-smskabs2

Compute the squared absolute value for each element in a single-precision floating-point strided array according to a strided mask array.

  • v0.2.2
  • 8.09
  • 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
  • 7.98
  • Published

@stdlib/stats-base-smeanli

Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.

  • v0.2.2
  • 7.80
  • Published

@stdlib/blas-ext-base-scusumpw

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

  • v0.2.2
  • 7.77
  • 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
  • 7.53
  • 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
  • 7.52
  • Published

@stdlib/array-ones-like

Create an array filled with ones and having the same length and data type as a provided array.

  • v0.2.1
  • 7.40
  • Published

@stdlib/array-zeros-like

Create a zero-filled array having the same length and data type as a provided array.

  • v0.2.2
  • 7.21
  • Published

@stdlib/blas-ext-base-snansum

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

  • v0.2.2
  • 7.05
  • Published

@stdlib/blas-ext-base-sdssum

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

  • v0.2.2
  • 6.60
  • Published

@stdlib/array-zero-to-like

Generate a linearly spaced numeric array whose elements increment by 1 starting from zero and having the same length and data type as a provided input array.

  • v0.2.2
  • 6.32
  • Published

@stdlib/blas-ext-base-sapx

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

  • v0.2.2
  • 6.32
  • Published

@stdlib/math-strided-special-smskrsqrt

Compute the reciprocal square root for each element in a single-precision floating-point strided array according to a strided mask array.

  • v0.2.2
  • 6.32
  • Published

@stdlib/utils-push

Add one or more elements to the end of a collection.

  • v0.2.2
  • 6.15
  • Published

@stdlib/math-strided-special-smskramp

Evaluate the ramp function for each element in a single-precision floating-point strided array according to a strided mask array.

  • v0.2.2
  • 5.42
  • Published

@stdlib/utils-append

Add elements from one collection to the end of another collection.

  • v0.2.2
  • 4.16
  • Published

@stdlib/math-strided-special-smsksqrt

Compute the principal square root for each element in a single-precision floating-point strided array according to a strided mask array.

  • v0.2.2
  • 4.10
  • Published

@stdlib/utils-unshift

Add one or more elements to the beginning of a collection.

  • v0.2.2
  • 4.05
  • Published

to-typed-array

To Typed Array: Convert an Array of Numbers to the Typed Array with the Smallest Memory Footprint

  • v0.0.1
  • 3.99
  • Published

@stdlib/utils-shift

Remove and return the first element of a collection.

  • v0.2.2
  • 2.44
  • Published

@stdlib/array-full-like

Create a filled array having the same length and data type as a provided array.

  • v0.2.1
  • 2.44
  • Published

choose-typed-array

Chooses the Best Typed Array to use for an Array of Number. Supports Big Integers!

  • v0.0.1
  • 2.40
  • Published

@stdlib/array-nans-like

Create an array filled with NaNs and having the same length and data type as a provided array.

  • v0.2.1
  • 0.00
  • Published

@stdlib/utils-pop

Remove and return the last element of a collection.

  • v0.2.2
  • 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

@stdlib/array-one-to-like

Generate a linearly spaced numeric array whose elements increment by 1 starting from one and having the same length and data type as a provided input array.

  • v0.2.2
  • 0.00
  • Published