JSPM

Determine if an object is a Buffer

Convert a typed array to a Buffer without a copy

Test if a value is a Float64Array.

Detect native Float64Array support.

Float64Array.

Test if a value is a collection.

Test if an array-like object supports the accessor (get/set) protocol.

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

Multiply a double-precision floating-point vector by a constant.

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

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

Create a zero-filled array having a specified length.

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

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

Create an uninitialized array having a specified length.

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

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

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

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

Create a filled array according to a provided callback function.

Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.

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

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

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

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

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

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

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

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

Calculate the dot product of two double-precision floating-point vectors.

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

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

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

Calculate the standard error of the mean for a double-precision floating-point strided array.

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

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

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

A high-performance TypeScript library for working with 2D points and vectors, supporting Float32Array, Float64Array, and plain arrays.

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

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

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

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

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

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

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

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

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

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

Calculate the minimum absolute value of a double-precision floating-point strided array.

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

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

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

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

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

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

Test if a value is an empty collection.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

Calculate the standard deviation of 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.

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

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

Create a typed array.

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

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

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

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

Multiply a vector x by a constant and add the result to y.

Generate a linearly spaced numeric array whose elements increment by 1 starting from one.

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

Create a filled array having a specified length.

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

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

Copy values from x into y.

Create a filled array.

Create an array filled with ones and having a specified length.

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

Test if a value is a 2-dimensional ndarray-like object containing double-precision floating-point numbers.

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

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

Generate a linearly spaced numeric array whose elements increment by 1 starting from zero.

Test if a value is a 1-dimensional ndarray-like object containing double-precision floating-point numbers.

Compute the sum of absolute values (L1 norm).

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

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

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

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

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

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

Interchange two double-precision floating-point vectors.

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

Interchange two double-precision floating-point vectors.

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

Construct a Givens plane rotation.

Calculate the dot product of two double-precision floating-point vectors.

Compute the multiplicative inverse for each element in a double-precision floating-point strided array.

Round each element in a double-precision floating-point strided array toward negative infinity.

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

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

Evaluate the ramp function for each element in a double-precision floating-point strided array.

Compute the reciprocal square root for each element in a double-precision floating-point strided array.

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

Convert each element in a double-precision floating-point strided array from degrees to radians.

Reverse a double-precision floating-point strided array in-place.

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

Adds a constant to each double-precision floating-point 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 a second-order iterative Kahan–Babuška algorithm.

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

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

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

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

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

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

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

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

Test if a value is an ndarray-like object containing double-precision floating-point numbers.

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

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

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

Calculate the L2-norm of a double-precision floating-point vector.

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

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

Utility library that lists out all transferable objects that can be transfered between Workers and the main thread.

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

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

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

Validation utilities.

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

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

Create an array filled with NaNs and having a specified length.

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

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

Interchanges two complex double-precision floating-point vectors.

Scale a double-precision complex floating-point vector by a double-precision complex floating-point constant.

Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.

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

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

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

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

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.

Calculate the sum 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 and using ordinary recursive summation.

Round each element in a double-precision floating-point strided array toward zero.

Compute the principal square root for each element in a double-precision floating-point strided array.

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

Round each element in a double-precision floating-point strided array toward positive infinity.

Compute the L2-norm of a complex double-precision floating-point vector.

Convert each element in a double-precision floating-point strided array from degrees to radians according to a strided mask array.

Test if a value is an array-like object supporting the accessor (get/set) protocol.

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

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

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.

Remove and return the last element of a collection.

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

Compute the cube root of each element retrieved from a double-precision floating-point strided array via a callback function.

Perform a series of row interchanges on an input matrix.

Find the index of the first element having the maximum absolute value.

Create a typed array.

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

Round each element in a double-precision floating-point strided array toward zero according to a strided mask array.

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

Compute the cube root of each element in a double-precision floating-point strided array.

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

Typed array pool.

Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.

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

Remove and return the first element of a collection.

Apply a modified Givens transformation.

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

Validates if a value is a Float64Array.

Apply a plane rotation.

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

Apply a plane rotation.

Copy all or part of a matrix A to another matrix B.

Detect native Float64Array support.

Scale a double-precision complex floating-point vector by a double-precision complex floating-point constant and add the result to a double-precision complex floating-point vector.

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

Determine if an object is a Buffer

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

Performs the rank 1 operation A = alpha⋅x⋅y^T + A.