JSPM

Double-precision floating-point positive infinity.

Convert a double-precision floating-point number to the nearest single-precision floating-point number.

Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.

Float64Array.

Test if a value is a Float64Array.

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

Smallest positive double-precision floating-point normal number.

High word mask for the sign bit of a double-precision floating-point number.

Double-precision complex number functions.

Split a double-precision floating-point number into a higher order word and a lower order word.

Double-precision floating-point negative infinity.

Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Return an integer corresponding to the unbiased exponent of a double-precision floating-point number.

High word mask for excluding the sign bit of a double-precision floating-point number.

High word mask for the exponent of a double-precision floating-point number.

Create a double-precision floating-point number from a higher order word and a lower order word.

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

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

High word mask for the significand of a double-precision floating-point number.

128-bit complex number.

Square root of 2π.

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

2π.

Euler's number.

Arbitrary constant `g` to be used in Lanczos approximation functions.

Convert a Node-API value to a double-precision floating-point number.

Natural logarithm of the maximum double-precision floating-point number.

The Euler-Mascheroni constant.

Square root of double-precision floating-point epsilon.

Maximum safe double-precision floating-point integer.

One half times the natural logarithm of 2.

Natural logarithm of the smallest normalized double-precision floating-point number.

Set the less significant 32 bits of a double-precision floating-point number.

Natural logarithm of 2.

Complex128Array.

1/2 times π.

π.

Convert a double-precision floating-point number to the nearest half-precision floating-point number.

Maximum double-precision floating-point number.

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

Test if a value is a complex number-like object.

1/4 times π.

Smallest positive double-precision floating-point number.

Square root of 2.

Natural logarithm of the square root of 2π.

Reinterpret a Complex128Array as a Float64Array.

Convert a double-precision floating-point number to a Node-API value.

Returns an integer corresponding to the unbiased exponent of a double-precision floating-point number.

Number of significand bits in the high word of a double-precision floating-point number.

Maximum safe nth factorial when stored in double-precision floating-point format.

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

Convert an integer-valued double-precision floating-point number to a signed 64-bit integer byte array according to host byte order.

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

Maximum nth factorial when stored in double-precision floating-point format.

Create a typed array.

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

Create a zero-filled array having a specified length.

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

Creates a double-precision floating-point number from a higher order word and a lower order word.

Smallest positive double-precision floating-point number.

Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Create a filled array according to a provided callback function.

Create an uninitialized array having a specified length.

Splits a floating-point number into a higher order word and a lower order word.

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

Return a string giving the literal bit representation of a double-precision floating-point number.

Natural logarithm of 2π.

Create a filled array.

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

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

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

Create a filled array having a specified length.

Test if two arguments are both Float64Arrays and have the same values.

Natural logarithm of 1/2.

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

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

Evaluate the identity function for a double-precision floating-point number.

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

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

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

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

Splits a double-precision floating-point number into a normalized fraction and an integer power of two.

Natural logarithm of π.

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

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

Test if a value is a Complex128Array.

Compute the number of representable double-precision floating-point values that separate two double-precision floating-point numbers along the real number line.

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

Square root of π.

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

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

Split a double-precision floating-point number into a normalized fraction and an integer power of two.

Copy values from x into y.

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.

Float64Array in little-endian byte order.

Add a scalar constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.

π².

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

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

Golden ratio.

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.

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.

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

Maximum safe nth Fibonacci number when stored in double-precision floating-point format.

Double-precision floating-point NaN.

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

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

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

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

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

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

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

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

Add a scalar constant to each double-precision floating-point strided array element and compute the sum.

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

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

Fill a double-precision floating-point strided array with linearly spaced values over a specified interval.

Return the first index of a specified search element in a double-precision floating-point strided array.

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

Return the last index of a specified search element in a double-precision floating-point strided array.

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

Square root of 0.5π.

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

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

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

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

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

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

Convert a double-precision floating-point number to an unsigned 32-bit integer.

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

Interchange two double-precision floating-point vectors.

Minimum safe double-precision floating-point integer.

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

Maximum safe nth Lucas number when stored in double-precision floating-point format.

Square root of 3.

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

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

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

Convert a signed 64-bit integer byte array to a double-precision floating-point number.

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

Compute the sum of absolute values (L1 norm).

Apply a modified Givens transformation.

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

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

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

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

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 using a one-pass textbook algorithm.

Compute the residual sum of squares of two double-precision floating-point strided arrays using Blue's algorithm.

Maximum safe nth Tribonacci number when stored in double-precision floating-point format.

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.

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

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

Compute the residual sum of squares of two double-precision floating-point strided arrays.

Evaluate the identity function for a double-precision complex floating-point number.

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

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

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

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

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

Add a scalar constant to each element in a 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 mid-range of a double-precision floating-point strided array.

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

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

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 sorted double-precision floating-point strided array.

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

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

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

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

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

Compute the square root of the residual sum of squares of two double-precision floating-point strided arrays.

Calculate the mean and standard deviation 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.

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

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

Calculate the covariance of two double-precision floating-point strided arrays provided known means and using a one-pass textbook algorithm.

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

Perform the rank 1 operation A = α⋅x⋅y^T + A.

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

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

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

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

Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using an improved Kahan–Babuška algorithm.

Canonical double-precision complex floating-point NaN.

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

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

Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.

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

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

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

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

Convert a double-precision floating-point number to a signed 32-bit integer.

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 pairwise summation.

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

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

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

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

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

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

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

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

Interchange two complex double-precision floating-point vectors.

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

A small type-array based matrix lib. A core matrix type plus just the other functions you need.

Compute a two-sample Z-test for two double-precision floating-point strided arrays.

Maximum nth double factorial when stored in double-precision floating-point format.

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

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

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

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

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

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 sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.

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

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

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

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

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

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

Apply a plane rotation.

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

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

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

Evaluate the ramp function for each element in a 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.

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

Compute the absolute value 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.

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

Compute the range of absolute values of a double-precision floating-point strided array.

LAPACK routine to find the index of the last non-zero row in an input matrix.

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

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

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

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

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

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

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

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

Test if two arguments are both Float64Arrays and contain respective elements which are approximately equal within a specified number of ULPs (units in the last place).

Apply a plane rotation.

Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.