JSPM

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

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.

Apply a modified Givens transformation.

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

Calculate the maximum 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.

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

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

Calculate the standard error of the mean for 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 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.

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

Creates a double-precision floating-point number from a literal bit representation.

Construct a Givens plane rotation.

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.

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

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

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

Calculate the standard deviation 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 textbook algorithm.

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 and using a two-pass error correction algorithm.

Base utilities for double-precision floating-point numbers.

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

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

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.

Base (i.e., lower-level) double-precision complex number functions.

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

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

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

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

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 using Welford's algorithm.

Double-precision complex floating-point zero.

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 a second-order iterative Kahan–Babuška algorithm.

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 Welford's algorithm and ignoring NaN values.

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

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

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

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

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.

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

Base double-precision floating-point number assert functions.

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

Returns a 32-bit integer corresponding to the less significant 32 bits of a double-precision floating-point number.

Get the integral and fractional parts of a given number.

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.

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.

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

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.

Test if a value is a 64-bit or 128-bit complex number.

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.

Perform a series of row interchanges on an input matrix.

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

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

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

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

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

Maximum double-precision floating-point number.

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

Return the maximum safe integer capable of being represented by a numeric real type.

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

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 according to a strided mask array and assigning results to a double-precision floating-point

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

Return a double-precision floating-point number with the magnitude of x and the sign of x*y.

Maximum safe double-precision floating-point integer.

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 a double-precision floating-point

Return the maximum finite value capable of being represented by a numeric real type.

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

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

Create a typed array.

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

Returns a double-precision floating-point number with the magnitude of x and the sign of x*y.

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

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

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

Compute the absolute value 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.

Sets the more significant 32 bits of a double-precision floating-point number.

Returns a boolean indicating if the sign bit for a double-precision floating-point number is on (true) or off (false).

Return the minimum safe integer capable of being represented by a numeric real type.

Typed array pool.

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

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

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.

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

Return the maximum finite value capable of being represented by a numeric real type.

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 and assigning results to a double-precision floating-point strided output array.

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

Return the minimum safe integer capable of being represented by a numeric real type.

Utilities for double-precision floating-point numbers.

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.

N-dimensional array library for JavaScript inspired by NumPy

Return the smallest positive normal value capable of being represented by a numeric real type.

Create a zero-filled array having the same length and data type as a provided 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 cube root of each element retrieved from a double-precision floating-point strided array via a callback function.

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

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

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

Return the maximum safe integer capable of being represented by a numeric real type.

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

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

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.