JSPM

Computes the least common multiple (lcm).

Computes the greatest common divisor (gcd).

Computes the cosine similarity between two arrays.

Computes the dot product between two numeric arrays.

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

Positive infinity.

Validates if a value is matrix-like.

Maximum unsigned 32-bit integer.

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.

Matrices.

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

Generates a linearly spaced index array from a subsequence string.

Determines the underlying data type of an input value.

Returns an array constructor corresponding to an array data type.

Negative infinity.

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

Computes a quantile for a numeric array.

Computes the median of an array.

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

Returns an array constructor corresponding to an array data type.

Computes an absolute value.

Natural exponential function.

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

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

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

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

Computes the quadratic mean (root mean square).

Smallest positive double-precision floating-point number.

Computes the principal square root.

Maximum signed 32-bit integer.

Provides a method to compute a moving arithmetic mean incrementally.

Sets the less significant 32 bits of a 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.

Error function.

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

Error function.

Computes the interquartile range for an array of values.

Exponential function.

Rounds a numeric value toward positive infinity.

Pi.

Computes the sample standard deviation over an array of values.

Calculate the cosine distance between arrays

Evaluates a polynomial.

Computes the covariance between one or more numeric arrays.

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

Computes the geometric mean of an array.

Flattens an array.

Inverse complementary error function.

Rounds a numeric value toward negative infinity.

Natural logarithm.

Computes the square root of a sum of squares.

Complementary error function.

Evaluates a rational function.

Minimum signed 32-bit integer.

Negative infinity.

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

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

Positive infinity.

Computes quantiles for numeric array.

Computes the sample excess kurtosis of an array of values.

Computes the variance.

Complementary error function.

Inverse error function.

Inverse complementary error function.

Inverse error function.

Rounds a numeric value toward zero.

Computes the harmonic mean over an array of values.

Computes the arithmetic mean.

A Yeoman generator for Compute.io modules.

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

Reverse an array.

Computation library.

Computes the sample skewness of an array of values.

Computes the mode of an array.

Computes the Hamming distance between two sequences.

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

Computes the truncated mean of an array.

Computes the sum.

Computes an element-wise subtraction.

Computes a moving arithmetic mean over an array.

Computes an element-wise division.

Computes the trimean of a numeric array.

Generates a linearly spaced numeric array.

Computes an element-wise principal square root.

Generates a logarithmically spaced numeric array.

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

Generates a linearly spaced numeric array using a provided increment.

Computes the Lp norm of an array of values.

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

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

Computes a moving product over an array.

Computes the maximum value of a numeric array.

Provides a method to compute an arithmetic mean incrementally.

Computes an element-wise addition.

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

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

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

Removes duplicate values from a numeric array.

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

Computes a trimmed midrange of a numeric array

Computes the minimum value of an array.

Shuffles array elements in place.

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.

Computes the product.

Computes a moving minimum over a numeric array.

Signum function.

Computes for each array element whether an element is NaN.

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

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

Computes an element-wise multiplication of a numeric array.

Computes a moving sum over an array.

Computes quantiles for an array ignoring non-numeric values.

Provides a method to compute a moving sum incrementally.

Computes for each array element whether an element is infinite.

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

Provides a method to compute a minimum value incrementally.

Computes a moving sample variance over a numeric array.

Computes the arithmetic range of an array.

Computes the interdecile range of an array of values.

Computes a weighted mean over an array of values.

Provides a method to compute a maximum value incrementally.

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

Computes the Tversky index between two sequences.

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

Computes the midhinge of a numeric array.

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

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

Computes a moving sample standard deviation over a numeric array.

Computes a moving maximum over a numeric array.

Provides a method to compute a moving sample variance incrementally.

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

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

Computes the cumulative product of an array.

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

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

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

Round values to the nearest multiple of 10^n.

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

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

Computes the cumulative maximum of a numeric array.

Computes for each array element whether an element is numeric.

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

Computes the hypotenuse of a right triangle.

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

Computes an element-wise absolute value.

Returns a boolean indicating if an input array is sorted.

Computes the cumulative sum of a numeric array.

Computes the mid-range of a numeric array.

Generates array tuples from input arrays.

Computes the cumulative minimum of a numeric array.

Provides a method to compute a sum incrementally.

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

Computes the cross product between two numeric arrays.

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

Generates an array of linearly spaced dates.

Finds array elements which satisfy a test condition.

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

Provides a method to compute a sample standard deviation incrementally.

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

A linear congruential pseudorandom number generator (lcg).

Provides a method to compute a sample variance incrementally.

Computes the cosine of a number.

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

Shifts array elements (or string characters) circularly.

Computes the sine of a number.

Computes sin(πx).

Digamma function.

Natural logarithm of the gamma function.

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

Computes the tangent of a number.

Computes the Euclidean distance between two arrays.

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

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

Rounds a numeric value to the nearest integer.

Computes the L2 norm (Euclidean norm).

Computes the Chebyshev distance between two arrays.

The Euler-Mascheroni constant.

Gamma function.

Computes exp(x) - 1.

Base 2 logarithm of Euler's number.

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

Copies values from x into y.

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

Computes the Minkowski distance between two arrays.

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

Interchanges the elements of x and y.

Catalan's constant.

Computes the dot product of x and y.

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

Minimum signed 8-bit integer.

Computes the sum of absolute values (L1 norm).

Construct a matrix from an array of arrays.

Maximum unsigned 16-bit integer.

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

Smallest positive single-precision floating-point number.

Incomplete gamma function.

Applies a function to each matrix element.

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

Segments an array into chunks.

Euler's number.

Maximum signed 8-bit integer.

Square root of double-precision floating-point epsilon.

Computes bˣ - 1.

Computes the relative difference of two real numbers.

Maximum unsigned 8-bit integer.

2π.

Maximum signed 32-bit integer.

Riemann Zeta function.

Minimum signed 32-bit integer.

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

Natural logarithm of 2.

Square root of 1/2.

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

Maximum unsigned 32-bit integer.

Maximum signed 16-bit integer.

Dirichlet eta function.

Natural logarithm of the square root of 2π.

Maximum unsigned 8-bit integer.

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

Returns the maximum value of a specified integer type.

Base 10 logarithm of Euler's number.

Returns a string giving the literal bit representation of an unsigned 32-bit integer.

Validates if a value is a matrix.

Glaisher-Kinkelin constant.

Minimum signed 16-bit integer.

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

Applies a function to each typed array element.

Maximum single-precision floating-point number.

The Euler-Mascheroni constant.

Returns the minimum value of a specified integer type.

Apéry's constant.

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

Maximum double-precision floating-point number.

Square root of 2.

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

Returns an unsigned 32-bit integer corresponding to the IEEE 754 binary representation of a single-precision floating-point number.

Cube root of double-precision floating-point epsilon.

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

Square root of the golden ratio.

Computes the binomial coefficient.

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

Catalan's constant.

Maximum unsigned 16-bit integer.