@stdlib/strided-napi-smskmap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array according to a corresponding element in a strided mask array and assigning results to elements in a single-precision floating-point strided output array.
@stdlib/strided-base-mskunary
Apply a unary callback to elements in a strided input array according to elements in a strided mask array and assign results to elements in a strided output array.
@stdlib/strided-base-dmskmap
Apply a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assign each result to an element in a double-precision floating-point strided output array.
@stdlib/stats-base-mskmin
Calculate the minimum value of a strided array according to a mask.
@stdlib/strided-base-smskmap2
Apply a binary function to single-precision floating-point strided input arrays according to a strided mask array and assign results to a single-precision floating-point strided output array.
@stdlib/stats-base-nanmskmax
Calculate the maximum value of a strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-dmskmax
Calculate the maximum value of a double-precision floating-point strided array according to a mask.
@stdlib/strided-base-dmskmap2
Apply a binary function to double-precision floating-point strided input arrays according to a strided mask array and assign results to a double-precision floating-point strided output array.
@stdlib/stats-base-dnanmskmax
Calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-snanmskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-mskmax
Calculate the maximum value of a strided array according to a mask.
@stdlib/strided-base-mskunary-dtype-signatures
Generate a list of masked unary interface signatures from strided array data types.
@stdlib/stats-base-snanmskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/strided-napi-dmskmap2
C API for registering a Node-API module exporting a strided array interface for applying a binary callback to double-precision floating-point strided input arrays according to a strided mask array and assigning results to elements in a double-precision floating-point strided output array.
@stdlib/stats-base-nanmskmin
Calculate the minimum value of a strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-dnanmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
@stdlib/stats-base-smskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
@stdlib/strided-napi-smskmap2
C API for registering a Node-API module exporting a strided array interface for applying a binary callback to single-precision floating-point strided input arrays according to a strided mask array and assigning results to a single-precision floating-point strided output array.
@stdlib/strided-napi-mskunary
C API for registering an N-API module exporting a strided array interface for applying a unary callback to an input strided array according to a mask strided array.
@stdlib/array-base-mskunary2d
Apply a unary callback to elements in a two-dimensional nested input array according to elements in a two-dimensional nested mask array and assign results to elements in a two-dimensional nested output array.
@stdlib/strided-base-mskunary-signature-callbacks
Assign callbacks to masked unary interfaces according to type promotion rules.
strided-napi-dmskmap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assigning results to elements in a double-precision floating-point strided output array.
array-base-mskbinary2d
Apply a binary callback to elements in two two-dimensional nested input arrays according to elements in a two-dimensional nested mask array and assign results to elements in a two-dimensional nested output array.
array-base-mskunary5d
Apply a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assign results to elements in a five-dimensional nested output array.
array-base-mskunary4d
Apply a unary callback to elements in a four-dimensional nested input array according to elements in a four-dimensional nested mask array and assign results to elements in a four-dimensional nested output array.
@stdlib/stats-base-dmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
stats-strided-mskmax
The "stats-strided-mskmax" repository offers efficient statistical functions for handling masked maximum values in arrays. Explore the code to enhance your numerical computations in JavaScript! 🐱💻📊
stats-strided-smskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
stats-strided-snanmskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
stats-array-nanmskrange
Calculate the range of an array according to a mask, ignoring NaN values.
stats-strided-dmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
stats-array-mskmax
Calculate the maximum value of an array according to a mask.
@stdlib/array-base-mskunary3d
Apply a unary callback to elements in a three-dimensional nested input array according to elements in a three-dimensional nested mask array and assign results to elements in a three-dimensional nested output array.
stats-array-mskmax
Calculate the maximum value of an array according to a mask.
array-base-mskbinary4d
Apply a binary callback to elements in two four-dimensional nested input arrays according to elements in a four-dimensional nested mask array and assign results to elements in a four-dimensional nested output array.
stats-strided-dmskmax
Calculate the maximum value of a double-precision floating-point strided array according to a mask.
array-base-mskbinary3d
Apply a binary callback to elements in two three-dimensional nested input arrays according to elements in a three-dimensional nested mask array and assign results to elements in a three-dimensional nested output array.
stats-array-nanmskmax
Calculate the maximum value of an array according to a mask, ignoring NaN values.
stats-strided-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
stats-strided-mskmin
Calculate the minimum value of a strided array according to a mask.
stats-array-mskmin
Calculate the minimum value of an array according to a mask.
stats-array-nanmskrange
Effortlessly compute statistical ranges in arrays with stats-array-nanmskrange. Ideal for numerical tasks in JavaScript and Node.js. 🚀📊
array-base-mskbinary5d
Apply a binary callback to elements in two five-dimensional nested input arrays according to elements in a five-dimensional nested mask array and assign results to elements in a five-dimensional nested output array.
stats-strided-mskmax
Calculate the maximum value of a strided array according to a mask.