JSPM

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

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

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

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

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

Apply a plane rotation.

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

Apply a modified Givens transformation.

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

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 variance 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 using a one-pass trial mean algorithm.

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

Calculate the maximum 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 a two-pass algorithm.

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

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

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

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

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

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

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

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

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

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

Calculate the cumulative 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, ignoring NaN values.

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

Calculate the arithmetic mean 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 a one-pass textbook algorithm.

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

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

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

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

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

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

Construct a Givens plane rotation.

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

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

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

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

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

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

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

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

Interchange two double-precision floating-point vectors.

Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook 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 according to a mask, ignoring NaN values.

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

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

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

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 deviation of a double-precision floating-point strided array using Welford's algorithm.

Calculate the maximum value 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 with pairwise summation.

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

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

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

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

Calculate the variance of a double-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.

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.

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

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

Compute the cube root of 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 according to a strided mask array.

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

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

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

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

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

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

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

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

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

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

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

Compute the absolute value 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.

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

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

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

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

Perform a series of row interchanges on an input matrix.

Detect native Float64Array support.

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

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

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

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

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

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.

Determine if an object is a Buffer

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

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

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

Create a typed array.

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

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

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

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

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.

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

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

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

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

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

Remove and return the first element of a collection.

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

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

Typed array pool.

Remove and return the last element of a collection.

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.