JSPM

Computes the least common multiple (lcm).

Computes the greatest common divisor (gcd).

Computes the dot product between two numeric arrays.

Computes the cosine similarity between two arrays.

Computes the L2 norm (Euclidean norm) of an array of values.

Positive infinity.

Maximum unsigned 32-bit integer.

Validates if a value is matrix-like.

Validates if a value is ndarray-like.

Computes array dimensions.

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

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

Converts degrees to radians.

Converts radians to degrees.

Computes the median of an array.

Generates a linearly spaced index array from a subsequence string.

Matrices.

Returns an array data type corresponding to an array constructor name.

Returns an array constructor corresponding to an array data type.

Determines the underlying data type of an input value.

Returns an array data type corresponding to an array constructor name.

Negative infinity.

Returns an array constructor corresponding to an array data type.

Casts an array to an array of a different data type.

Computes an absolute value.

Computes a quantile for a numeric array.

Maximum signed 32-bit integer.

Computes the quadratic mean (root mean square).

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

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

Provides a method to compute a moving arithmetic mean incrementally.

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

Natural exponential function.

Evaluates a polynomial.

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

Multiplies a double-precision floating-point number by an integer power of two.

Rounds a numeric value toward positive infinity.

Computes the maximum value of a numeric array and returns the corresponding array indices.

Error function.

Rounds a numeric value toward negative infinity.

Computes the covariance between one or more numeric arrays.

Smallest positive double-precision floating-point number.

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

Evaluates a polynomial.

Computes the sample standard deviation over an array of values.

Computes the interquartile range for an array of values.

Flattens an array.

Calculate the cosine distance between arrays

Rounds a numeric value toward zero.

Computes the principal square root.

Computes the geometric mean of an array.

Inverse complementary error function.

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

Inverse error function.

Complementary error function.

Error function.

Computes Pearson product-moment correlation coefficients between one or more numeric arrays.

Computes the sample excess kurtosis of an array of values.

Computes the square root of a sum of squares.

Negative infinity.

Returns a string giving the literal bit representation of a single-precision floating-point number.

Computes quantiles for numeric array.

Exponential function.

Computes the sample skewness of an array of values.

Natural logarithm.

Complementary error function.

Minimum signed 32-bit integer.

Positive infinity.

Computes the arithmetic mean.

Computation library.

Computes the Hamming distance between two sequences.

Computes the mode of an array.

Computes the truncated mean of an array.

Computes the variance.

Generates a logarithmically spaced numeric array.

Computes the lower interquartile mean (lower midmean) of a numeric array.

Computes a moving product over an array.

Computes the harmonic mean over an array of values.

Reverse an array.

Computes an element-wise comparison (greater than) of an array.

Computes the trimean of a numeric array.

Computes an element-wise addition.

Computes a moving minimum over a numeric array.

Evaluates a rational function.

Computes a moving arithmetic mean over an array.

Shuffles array elements in place.

Computes an element-wise division.

Computes an element-wise comparison (less than or equal to) of an array.

Computes an element-wise subtraction.

Computes the Lp norm of an array of values.

Computes the product.

Computes the differences between adjacent elements in an array of values.

Computes the L1 norm (Manhattan norm) of an array of values.

Computes quantiles for an array ignoring non-numeric values.

Computes a weighted mean over an array of values.

Provides a method to compute a minimum value incrementally.

Computes the maximum value of an array ignoring non-numeric values and returns the corresponding array indices.

Computes an element-wise principal square root.

Computes the minimum value of an array.

Provides a method to compute an arithmetic mean incrementally.

Generates an array of linearly spaced dates using a provided increment.

Computes for each array element whether an element is NaN.

Computes the sum.

Computes the arithmetic range of an array ignoring non-numeric values.

Unzips a zipped array (i.e., a nested array of tuples).

Computes the maximum value of a numeric array.

Computes an element-wise comparison (equality) of an array.

Computes the geometric mean of an array of values ignoring any values which are not numeric.

Provides a method to compute a moving sample standard deviation incrementally.

Provides a method to compute a maximum value incrementally.

Computes the sample standard deviation over an array of values ignoring any values which are not numeric.

Computes the upper interquartile mean (upper midmean) of a numeric array.

Generates a linearly spaced numeric array.

Provides a method to compute a moving sum incrementally.

Computes an element-wise comparison (greater than or equal to) of an array.

Computes the arithmetic mean over an array of values ignoring any values which are not numeric.

Computes a moving maximum over a numeric array.

Computes an element-wise multiplication of a numeric array.

Computes the minimum value of a numeric array and returns the corresponding array indices.

Provides a method to compute a moving sample variance incrementally.

Computes the arithmetic range of an array.

Computes for each array element whether an element is numeric.

Computes the interquartile mean (midmean) of a numeric array.

Computes a moving sample variance over a numeric array.

Pi.

Computes a moving sample standard deviation over a numeric array.

Computes the infinity norm (Chebyshev/supremum norm) of an array of values.

Computes a moving sum over an array.

Computes the Tversky index between two sequences.

Generates a linearly spaced numeric array using a provided increment.

Computes the minimum value of an array ignoring non-numeric values.

Computes the cumulative maximum of a numeric array.

Computes the minimum value of an array ignoring non-numeric values and returns the corresponding array indices.

Computes the sample variance over an array of values ignoring any values which are not numeric.

Computes the harmonic mean of an array of values ignoring any values which are not numeric.

Signum function.

Computes the midhinge of a numeric array.

Computes an element-wise absolute value.

Computes the interdecile range of an array of values.

Computes a trimmed midrange of a numeric array

Computes an element-wise comparison (less than) of an array.

Computes for each array element whether an element is infinite.

Computes the maximum value of an array ignoring non-numeric values.

Computes an element-wise comparison (not equal) of an array.

Generates array tuples from input arrays.

Computes the hypotenuse of a right triangle.

Computes the quadratic mean (root mean square) of an array of values ignoring any values which are not numeric.

Computes the cumulative product of an array.

Provides a method to compute a sum incrementally.

Removes duplicate values from a numeric array.

Finds array elements which satisfy a test condition.

Computes for each array element whether an element is an integer.

Computes the cumulative sum of a numeric array.

Round values to the nearest multiple of 10^n.

Computes the median of an array ignoring non-numeric values.

Computes the cross product between two numeric arrays.

Shifts array elements (or string characters) circularly.

Computes the mid-range of a numeric array.

Computes the product of an array ignoring any non-numeric values.

Computes the cumulative minimum of a numeric array.

Computes for each array element whether an element is a finite number.

Computes the sum of an array ignoring non-numeric values.

Returns a boolean indicating if an input array is sorted.

Provides a method to compute a sample standard deviation incrementally.

Provides a method to compute a sample variance incrementally.

Generates an array of linearly spaced dates.

Inverse complementary error function.

Computes sin(πx).

Computes the sine of a number.

Computes the cosine of a number.

Inverse error function.

Natural logarithm of the gamma function.

A linear congruential pseudorandom number generator (lcg).

Digamma function.

Computes the tangent of a number.

Returns the next representable double-precision floating-point number after x toward y.

Minimum safe double-precision floating-point integer.

Maximum safe double-precision floating-point integer.

Validates if a value is a matrix.

Rounds a numeric value to the nearest integer.

Computes the Euclidean distance between two arrays.

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

Maximum unsigned 16-bit integer.

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

Computes the L2 norm (Euclidean norm).

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

Flips a matrix horizontally.

Glaisher-Kinkelin constant.

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

The Euler-Mascheroni constant.

Evaluates the natural logarithm of the beta function.

Computes the Manhattan (city block) distance between two arrays.

Returns an integer corresponding to the significand of a single-precision floating-point number.

Computes bˣ - 1.

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

Returns the next representable single-precision floating-point number after x toward y.

Euler's number.

Signum function.

Computes the Minkowski distance between two arrays.

Golden ratio.

Creates a NaN-filled matrix or array.

Apéry's constant.

Maximum signed 8-bit integer.

The Euler-Mascheroni constant.

Catalan's constant.

Catalan's constant.

Dirichlet eta function.

Square root of 2.

Applies a function to each matrix element.

Rounds a numeric value to the nearest multiple of 10^n.

Maximum unsigned 16-bit integer.

Riemann Zeta function.

Base 2 logarithm of Euler's number.

Rotates a matrix by 90 degrees.

Maximum unsigned 8-bit integer.

Applies a function to each typed array element.

Maximum signed 32-bit integer.

Copies values from x into y.

Natural logarithm of 2.

Incomplete gamma function.

Maximum signed 16-bit integer.

Scales elements of `x` by a constant `alpha`.

Maximum unsigned 32-bit integer.

Returns a JSON representation of a typed array.

Natural logarithm of the square root of 2π.

Flips a matrix vertically.

2π.

Computes the Chebyshev distance between two arrays.

Casts an array to an array of a different data type.

Creates a ones-filled matrix or array.

Construct an array of arrays from a matrix.

Returns a string giving the literal bit representation of a single-precision floating-point number.

Smallest positive single-precision floating-point number.

Returns the maximum value of a specified integer type.

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

Arrays.

Square root of the golden ratio.

Multiplies x and a constant and adds the result to y.

Computes exp(x) - 1.

Finds the first element equal to the maximum absolute value of x and returns the element index.

Natural logarithm of 10.

Minimum signed 16-bit integer.

Computes the sum of absolute values (L1 norm).

Maximum double-precision floating-point number.

A Yeoman generator for Compute.io modules.

Maximum unsigned 8-bit integer.

Returns a string giving the literal bit representation of an unsigned 8-bit integer.

Creates a filled matrix or array.

Maximum single-precision floating-point number.

Returns the minimum value of a specified integer type.