JSPM

Flatten a two-dimensional nested array according to a callback function.

Convert a Node-API value representing a strided array to a single-precision floating-point array.

Flattens an array.

Fill a strided array according to a provided callback function.

Reinterpret a BooleanArray as a Uint8Array.

List of strided array data types.

Calculate the range of a strided array.

Reinterpret a complex-valued floating-point array as a real-valued floating-point array having the same precision.

Fill a strided array with a specified scalar constant.

Calculate the median value of a sorted strided array.

Calculate the maximum value of a strided array.

Apply a unary callback to elements in a strided input array and assign results to elements in a strided output array.

Assign elements in a input ndarray to elements in an output ndarray.

Calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.

Fill a double-precision floating-point strided array with a specified scalar constant.

Reverse a strided array in-place.

Flatten an n-dimensional nested array.

Calculate the cumulative maximum of a strided array.

Calculate the sum of strided array elements.

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

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

Adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.

Calculate the cumulative minimum of a strided array.

Return the enumeration constant associated with a strided array data type string.

Convert a linear index to an array of subscripts.

Return the data type string associated with a strided array data type enumeration constant.

Convert a Node-API value representing a strided array to a double-precision complex floating-point array.

Return the data type string associated with a supported strided array data type value.

Convert a Node-API value representing a strided array to an unsigned 8-bit integer array.

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.

Return the minimum accessible index based on a set of provided strided array parameters.

Convert a Node-API value representing a strided array to a single-precision complex floating-point array.

C APIs for creating and managing strided array function objects.

Fill a strided array with pseudorandom numbers drawn from a normal distribution.

C API for validating, extracting, and transforming (to native C types) function arguments provided to a strided array Node-API add-on interface.

Create a filled four-dimensional nested array.

Define non-enumerable read-only properties which expose strided array function meta data.

Apply a unary callback to elements in a input ndarray and assign results to elements in an output ndarray.

Create a filled two-dimensional nested array according to a provided callback function.

Return the enumeration constant associated with a supported strided array data type value.

Create a zero-filled three-dimensional nested array.

Create a filled two-dimensional nested array.

Create a filled four-dimensional nested array according to a provided callback function.

Create a zero-filled two-dimensional nested array.

Create a strided array function interface which performs multiple dispatch.

Create a filled three-dimensional nested array.

Create a filled three-dimensional nested array according to a provided callback function.

Create a zero-filled five-dimensional nested array.

Create a filled five-dimensional nested array according to a provided callback function.

Create a filled five-dimensional nested array.

Create a zero-filled four-dimensional nested array.

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

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

Calculate the variance of a strided array using a one-pass trial mean algorithm.

Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.

Generate a list of binary interface signatures from strided array data types.

C API for registering a Node-API module exporting a strided array interface for applying a unary callback to an input strided array.

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

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

Apply a unary function to each element retrieved from a strided input array according to a callback function and assign results to a strided output array.

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

Assign callbacks to binary interfaces according to type promotion rules.

Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.

C API for registering a Node-API module exporting a strided array interface for applying a binary callback to input strided arrays.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

C API for registering a Node-API module exporting a strided array interface for applying a unary callback to a single-precision floating-point strided input array according to a strided mask array and assigning results to a single-precision floating-poin

Calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation.

Apply a unary function to a single-precision floating-point strided input array and assign results to a single-precision floating-point strided output array.

Calculate the sum of strided array elements using ordinary recursive summation.

Calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm.

Calculate the cumulative sum of strided array elements.

Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.

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

Fill a single-precision floating-point strided array with a specified scalar constant.

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

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

C API for registering a Node-API module exporting a strided array interface for applying a unary callback to a single-precision floating-point strided input array and assigning results to a single-precision floating-point strided output array.

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 arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.

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

Return a typed array view having the same data type as a provided input typed array and starting at a specified index offset.

Apply a nullary function and assign results to elements in an output ndarray.

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

Sort a strided array using heapsort.

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

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

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

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

C API for registering a Node-API module exporting a strided array interface for applying a unary callback to an input strided array according to a mask strided array.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

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

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

Calculate the variance of a strided array using Welford's algorithm.

Compute the cube root of each element in a strided array.

Calculate the mean and standard deviation of a double-precision floating-point strided array.

Sort a double-precision floating-point strided array using Shellsort.

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

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

Apply a unary function to a single-precision floating-point strided input array according to a strided mask array and assign results to a single-precision floating-point strided output array.

Create a filled n-dimensional nested array.

Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.

Calculate the range of a strided array according to a mask, ignoring NaN values.

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

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

Simultaneously sort two strided arrays based on the sort order of the first array using insertion sort.

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

Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.

Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).

Compute the absolute value for each element in a strided array.

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

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

Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.

Calculate the mid-range of a double-precision floating-point strided array.

Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.

Compute the Bessel function of the first kind of order one for each element retrieved from an input strided array via a callback function.

Calculate the minimum value of a strided array.

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

Simultaneously sort two strided arrays based on the sort order of the first array using heapsort.

Compute the squared absolute value for each element in a double-precision floating-point strided array.

Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.

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

Calculate the maximum value of a strided array via a callback function.

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

Calculate the cumulative maximum absolute value of a strided array.

Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.

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

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

Apply a unary function to a double-precision floating-point strided input array and assign results to a double-precision floating-point strided output array.

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

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

Calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.

Compute the inverse versed cosine of each element retrieved from an input strided array via a callback function.

Element-wise addition of two strided arrays.

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

Flatten a five-dimensional nested array.

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

Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.

Convert a linear index in an underlying data buffer to a linear index in an array view.

Convert subscripts to a linear index.

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

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

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

Compute the inverse hyperbolic cotangent of each element retrieved from an input strided array via a callback function.

Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.

Flatten a four-dimensional nested array.

Calculate the arithmetic mean of a strided array using Welford's algorithm.

Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.

Compute the cube root for each element in a double-precision floating-point strided array according to a strided mask array.

Calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.

Calculate the minimum value of a sorted strided array.

Compute the arccosine of each element retrieved from an input strided array via a callback function.

Create a zero-filled n-dimensional nested array.

Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.

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

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

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

A small JavaScript library for efficient work with multidimensional arrays

Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.

Apply a unary function to a double-precision floating-point strided input array according to a strided mask array and assign results to a double-precision floating-point strided output array.

Calculate the minimum value of a strided array via a callback function.

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

Calculate the maximum value of a sorted double-precision floating-point strided array.

Sort a single-precision floating-point strided array using insertion sort.

Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values.

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

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.

C API for registering a Node-API module exporting a strided array interface for applying a unary callback to a double-precision floating-point strided input array and assigning results to a double-precision floating-point strided output array.

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Sort a strided array using Shellsort.

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

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

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

Generate a list of masked unary interface signatures from strided array data types.

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

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.

Compute the arctangent of each element retrieved from an input strided array via a callback function.

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

Calculate the standard deviation of a strided array using Welford's algorithm.

Invoke a callback function once for each ndarray element.

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.

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

Compute the inverse coversed sine of each element retrieved from an input strided array via a callback function.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Compute the hyperbolic arccosine of each element retrieved from an input strided array via a callback function.

Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using insertion sort.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the range of a double-precision floating-point strided array.

Calculate the range of a strided array via a callback function.

Compute the inverse coversed cosine of each element retrieved from an input strided array via a callback function.

Simultaneously sort two strided arrays based on the sort order of the first array using Shellsort.

Round each element in a single-precision floating-point strided array toward negative infinity according to a strided mask array.

Round each element in a strided array toward zero.

Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

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

Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.

Create a three-dimensional nested array filled with ones.

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

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

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

Compute the inverse half-value versed sine of each element retrieved from an input strided array via a callback function.

Calculate the maximum value of a sorted strided array.

Calculate the minimum value of a strided array via a callback function, ignoring NaN values.

Calculate the variance of a double-precision floating-point strided array provided a known mean.

Adds a constant to each strided array element and computes the sum using ordinary recursive summation.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the minimum value of a strided array according to a mask.

Adds a constant to each double-precision floating-point strided array element and computes the sum using ordinary recursive summation.

Calculate the maximum value of a strided array according to a mask, ignoring NaN values.

Strided array math functions.

Compute the multiplicative inverse for each element in a single-precision floating-point strided array according to a strided mask array.

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

Calculate the variance of a strided array using a one-pass textbook algorithm.

Calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.

Calculate the maximum value of a single-precision floating-point strided array.

Calculate the standard deviation of a strided array using a one-pass textbook algorithm.

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

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

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

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

Flatten a three-dimensional nested array.

Calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.

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

Calculate the minimum absolute value of a strided array, ignoring NaN values.

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

Convert a strided array to a three-dimensional nested array.

Compute the arcsine of each element retrieved from an input strided array via a callback function.

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

Calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.

Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.

Flatten an n-dimensional nested array according to a callback function.

Calculate the standard deviation of a single-precision floating-point strided array.

Calculate the maximum absolute value of a single-precision floating-point strided array.

Calculate the cumulative minimum absolute value of a strided array.

Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.

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

Compute the inverse versed sine of each element retrieved from an input strided array via a callback function.

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

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

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Flatten a four-dimensional nested array according to a callback function.

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.

Calculate the variance of a double-precision floating-point strided array.

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

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