JSPM

Found 203 results for float64array

@stdlib/stats-base-dmean

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

  • v0.2.2
  • 17.02
  • Published

@stdlib/blas-ext-base-dcusumkbn

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

  • v0.2.2
  • 17.01
  • Published

@stdlib/blas-base-dnrm2

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

  • v0.3.0
  • 16.70
  • Published

@stdlib/stats-base-dmeanvarpn

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

  • v0.2.2
  • 16.68
  • Published

@stdlib/blas-ext-base-dapxsumkbn

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

  • v0.2.2
  • 15.83
  • Published

@stdlib/stats-base-dmeanstdev

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

  • v0.2.2
  • 15.82
  • Published

@stdlib/stats-base-dnanmin

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

  • v0.2.2
  • 15.32
  • Published

@stdlib/stats-base-dmeanstdevpn

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

  • v0.2.2
  • 15.12
  • Published

@stdlib/blas-ext-base-dcusum

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

  • v0.2.2
  • 14.59
  • Published

@stdlib/blas-ext-base-dsumkbn

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

  • v0.2.2
  • 14.25
  • Published

@stdlib/blas-ddot

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

  • v0.2.2
  • 14.24
  • Published

@stdlib/stats-base-dvarmpn

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

  • v0.2.2
  • 13.85
  • Published

@stdlib/math-strided-special-dmskcbrt

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

  • v0.2.2
  • 13.60
  • Published

@stdlib/stats-base-dnanmskmax

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

  • v0.2.2
  • 13.60
  • Published

@stdlib/blas-ext-base-dapxsum

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

  • v0.2.2
  • 13.58
  • Published

@stdlib/blas-ext-base-dnannsumors

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

  • v0.2.2
  • 13.08
  • Published

@stdlib/stats-base-dnanstdevch

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

  • v0.2.2
  • 12.87
  • Published

@stdlib/stats-base-dnanvarianceyc

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.

  • v0.2.2
  • 12.81
  • Published

@stdlib/stats-base-dvariancewd

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

  • v0.2.2
  • 12.74
  • Published

@stdlib/stats-base-dnanmean

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

  • v0.2.2
  • 12.71
  • Published

@stdlib/stats-base-dnanstdevyc

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.

  • v0.2.2
  • 12.69
  • Published

@stdlib/stats-base-dsemch

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

  • v0.2.2
  • 12.69
  • Published

@stdlib/stats-base-dvarianceyc

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

  • v0.2.2
  • 12.47
  • Published

@stdlib/stats-base-dvariancech

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

  • v0.2.2
  • 12.47
  • Published

@stdlib/blas-ext-base-dsort2ins

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

  • v0.2.2
  • 12.38
  • Published

@stdlib/stats-base-dstdevch

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

  • v0.2.2
  • 12.38
  • Published

@stdlib/stats-base-dsemwd

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

  • v0.2.2
  • 12.36
  • Published

@stdlib/stats-base-dvarm

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

  • v0.2.2
  • 12.26
  • Published

@stdlib/stats-base-dnanmaxabs

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

  • v0.2.2
  • 12.08
  • Published

@stdlib/array-empty-like

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

  • v0.3.0
  • 12.01
  • Published

@stdlib/stats-base-dnanmskmin

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

  • v0.2.2
  • 11.92
  • Published

@stdlib/blas-ext-base-dasumpw

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

  • v0.2.2
  • 11.64
  • Published

@stdlib/stats-base-dstdevyc

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

  • v0.2.2
  • 11.64
  • Published

@stdlib/stats-base-dnanstdevwd

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

  • v0.2.2
  • 11.64
  • Published

@stdlib/blas-base-zscal

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

  • v0.0.2
  • 11.59
  • Published

@stdlib/math-strided-special-dmskfloor

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

  • v0.2.2
  • 11.56
  • Published

@stdlib/stats-base-dnanmeanpw

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

  • v0.2.2
  • 11.55
  • Published

@stdlib/stats-base-dnanvariancepn

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

  • v0.2.2
  • 11.55
  • Published

@stdlib/stats-base-dmskmin

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

  • v0.2.2
  • 11.37
  • Published

@stdlib/stats-base-dnanstdevpn

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

  • v0.2.2
  • 11.34
  • Published

@stdlib/stats-base-dvariancetk

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

  • v0.2.2
  • 11.24
  • Published

@stdlib/stats-base-dnanmax

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

  • v0.2.2
  • 11.15
  • Published

@stdlib/stats-base-dstdevpn

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

  • v0.2.2
  • 11.15
  • Published

@stdlib/blas-ext-base-dsumkbn2

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

  • v0.2.2
  • 11.14
  • Published

@stdlib/stats-base-dmeanors

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

  • v0.2.2
  • 11.12
  • Published

@stdlib/stats-base-dsem

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

  • v0.2.2
  • 10.98
  • Published

@stdlib/blas-ext-base-dnansumpw

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

  • v0.2.2
  • 10.91
  • Published

@stdlib/math-strided-special-dmsksqrt

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

  • v0.2.2
  • 10.91
  • Published

@stdlib/blas-ext-base-dapxsumors

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

  • v0.2.2
  • 10.91
  • Published

@stdlib/lapack-base-dpttrf

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

  • v0.1.0
  • 10.81
  • Published

@stdlib/stats-base-dnanstdev

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

  • v0.2.2
  • 10.81
  • Published

@stdlib/blas-ext-base-dcusumkbn2

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

  • v0.2.2
  • 10.65
  • Published

@stdlib/blas-ext-base-dnansum

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

  • v0.2.2
  • 10.65
  • Published

@stdlib/blas-ext-base-dcusumpw

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

  • v0.2.2
  • 10.65
  • Published

@stdlib/stats-base-dmeanwd

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

  • v0.2.2
  • 10.56
  • Published

@stdlib/stats-base-dnanstdevtk

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

  • v0.2.2
  • 10.44
  • Published

@stdlib/stats-base-dminabs

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

  • v0.2.2
  • 10.44
  • Published

@stdlib/stats-base-dsemtk

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

  • v0.2.2
  • 10.35
  • Published

@stdlib/blas-ext-base-dnanasum

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

  • v0.2.2
  • 10.35
  • Published

@stdlib/stats-base-dmeanpw

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

  • v0.2.2
  • 10.35
  • Published

@stdlib/blas-ext-base-dnannsumkbn

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

  • v0.2.2
  • 10.27
  • Published

@stdlib/stats-base-dvariancepn

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

  • v0.2.2
  • 10.27
  • Published

@stdlib/stats-base-dcuminabs

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

  • v0.2.2
  • 10.15
  • Published

@stdlib/stats-base-dsempn

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

  • v0.2.2
  • 10.15
  • Published

@stdlib/blas-ext-base-dnannsumkbn2

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

  • v0.2.2
  • 10.13
  • Published

@stdlib/stats-base-dnanmeanors

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

  • v0.2.2
  • 10.11
  • Published

@stdlib/stats-base-dstdev

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

  • v0.2.2
  • 10.11
  • Published

@stdlib/blas-ext-base-dsort2sh

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

  • v0.2.2
  • 9.85
  • Published

@stdlib/stats-base-dcumax

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

  • v0.2.2
  • 9.85
  • Published

@stdlib/blas-ext-base-dsort2hp

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

  • v0.2.2
  • 9.85
  • Published

@stdlib/blas-dswap

Interchange two double-precision floating-point vectors.

  • v0.2.2
  • 9.77
  • Published

@stdlib/stats-base-dvarmtk

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

  • v0.2.2
  • 9.77
  • Published

@stdlib/stats-base-dnanvariancewd

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

  • v0.2.2
  • 9.56
  • Published

@stdlib/stats-base-dnanmskrange

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

  • v0.2.2
  • 9.56
  • Published

@stdlib/stats-base-dnanmeanpn

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

  • v0.2.2
  • 9.56
  • Published

@stdlib/blas-ext-base-dcusumors

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

  • v0.2.2
  • 9.31
  • Published

@stdlib/stats-base-dmaxabs

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

  • v0.2.2
  • 9.31
  • Published

@stdlib/stats-base-dcumaxabs

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

  • v0.2.2
  • 9.30
  • Published

@stdlib/stats-base-dsemyc

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.

  • v0.2.2
  • 9.22
  • Published

@stdlib/stats-base-dstdevwd

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

  • v0.2.2
  • 9.22
  • Published

@stdlib/stats-base-dmax

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

  • v0.2.2
  • 9.22
  • Published

@stdlib/stats-base-dmeanlipw

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

  • v0.2.2
  • 9.22
  • Published

@stdlib/math-strided-special-dmskceil

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

  • v0.2.2
  • 9.08
  • Published

@stdlib/stats-base-dmeanli

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

  • v0.2.2
  • 9.08
  • Published

@stdlib/stats-base-dstdevtk

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

  • v0.2.2
  • 9.08
  • Published

@stdlib/blas-ext-base-dnansumkbn

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

  • v0.2.2
  • 9.08
  • Published

@stdlib/stats-base-dnanvariancetk

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

  • v0.2.2
  • 9.08
  • Published

@stdlib/blas-ext-base-dnannsum

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

  • v0.2.2
  • 8.77
  • Published

@stdlib/blas-base-zaxpy

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.

  • v0.1.0
  • 8.77
  • Published

@stdlib/blas-ext-base-dapxsumkbn2

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

  • v0.2.2
  • 8.69
  • Published

@stdlib/math-strided-special-dmskrsqrt

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

  • v0.2.2
  • 8.69
  • Published

@stdlib/stats-base-dmskrange

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

  • v0.2.2
  • 8.69
  • Published

@stdlib/stats-base-dnanmeanwd

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

  • v0.2.2
  • 8.69
  • Published

@stdlib/stats-base-dnanminabs

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

  • v0.2.2
  • 8.62
  • Published

@stdlib/utils-prepend

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

  • v0.2.2
  • 8.62
  • Published

@stdlib/stats-base-dmeankbn2

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

  • v0.2.2
  • 8.49
  • Published

@stdlib/stats-base-dnanvariancech

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

  • v0.2.2
  • 8.49
  • Published

@stdlib/math-strided-special-dmskinv

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

  • v0.2.2
  • 8.49
  • Published

@stdlib/stats-base-dmeanvar

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

  • v0.2.2
  • 8.24
  • Published

@stdlib/stats-base-dnanrange

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

  • v0.2.2
  • 8.24
  • Published

@stdlib/math-strided-special-dmskabs

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

  • v0.2.2
  • 8.01
  • Published

@stdlib/stats-base-dmskmax

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

  • v0.2.2
  • 8.01
  • Published

@stdlib/stats-base-dmeankbn

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

  • v0.2.2
  • 8.01
  • Published

@stdlib/array-ones-like

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

  • v0.2.1
  • 7.46
  • Published

@stdlib/array-zeros-like

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

  • v0.2.2
  • 7.18
  • Published

@stdlib/math-strided-special-dmskabs2

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

  • v0.2.2
  • 6.53
  • Published

@stdlib/blas-ext-base-dnansumors

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

  • v0.2.2
  • 6.35
  • Published

@stdlib/array-zero-to-like

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.

  • v0.2.2
  • 6.30
  • Published

@stdlib/blas-ext-base-dnansumkbn2

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

  • v0.2.2
  • 6.20
  • Published

@stdlib/utils-push

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

  • v0.2.2
  • 6.20
  • Published

@stdlib/math-strided-special-dcbrt-by

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

  • v0.2.2
  • 5.29
  • Published

@stdlib/utils-append

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

  • v0.2.2
  • 4.29
  • Published

@stdlib/utils-unshift

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

  • v0.2.2
  • 4.04
  • Published

@stdlib/math-strided-special-dmskramp

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

  • v0.2.2
  • 3.97
  • Published

to-typed-array

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

  • v0.0.1
  • 3.97
  • Published

choose-typed-array

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

  • v0.0.1
  • 2.41
  • Published

@stdlib/utils-shift

Remove and return the first element of a collection.

  • v0.2.2
  • 2.34
  • Published

@stdlib/array-full-like

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

  • v0.2.1
  • 2.34
  • Published

@stdlib/array-nans-like

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

  • v0.2.1
  • 0.00
  • Published

@stdlib/utils-pop

Remove and return the last element of a collection.

  • v0.2.2
  • 0.00
  • Published

@stdlib/array-one-to-like

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.

  • v0.2.2
  • 0.00
  • Published