JSPM

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.

Provides a method to compute a moving arithmetic mean incrementally.

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

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`.

Rounds a numeric value toward positive infinity.

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

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

Rounds a numeric value toward negative infinity.

Error function.

Smallest positive double-precision floating-point number.

Computes the covariance between one or more numeric arrays.

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

Computes the sample standard deviation over an array of values.

Evaluates a polynomial.

Computes the interquartile range for an array of values.

Flattens an array.

Calculate the cosine distance between arrays

Computes the principal square root.

Rounds a numeric value toward zero.

Computes the geometric mean of an array.

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

Inverse complementary error function.

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.

Natural logarithm.

Computes the sample skewness of an array of values.

Complementary error function.

Positive infinity.

Computes the arithmetic mean.

Minimum signed 32-bit integer.

Computation library.

Computes the variance.

Computes the mode of an array.

Generates a logarithmically spaced numeric array.

Computes the Hamming distance between two sequences.

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

Computes a moving product over an array.

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

Computes the truncated mean of an array.

Reverse an array.

Computes a moving minimum over a numeric array.

Computes an element-wise subtraction.

Computes the Lp norm of an array of values.

Computes an element-wise addition.

Computes the product.

Evaluates a rational function.

Shuffles array elements in place.

Computes an element-wise division.

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

Computes quantiles for an array ignoring non-numeric values.

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

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

Computes a weighted mean over an array of values.

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

Provides a method to compute a minimum value incrementally.

Computes the harmonic mean over an array of values.

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

Computes for each array element whether an element is NaN.

Computes the trimean of a numeric array.

Computes an element-wise principal square root.

Computes the minimum value of an array.

Provides a method to compute an arithmetic mean incrementally.

Computes a moving arithmetic mean over an array.

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

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.

Computes the sum.

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

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

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.

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.

Pi.

Computes a moving sample variance over a numeric array.

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 interquartile mean (midmean) 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.

Signum function.

Computes the interdecile range of an array of values.

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.

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

Computes the midhinge of a numeric array.

Computes an element-wise absolute value.

Computes a trimmed midrange of a numeric array

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

Computes the cumulative product of an array.

Computes the cumulative sum of a numeric array.

Round values to the nearest multiple of 10^n.

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.

Evaluates the natural logarithm of the beta function.

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

The Euler-Mascheroni constant.

Flips a matrix horizontally.

Glaisher-Kinkelin constant.

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.

Computes the dot product of x and y.

Maximum safe double-precision floating-point integer.

Maximum signed 8-bit integer.

Square root of double-precision floating-point epsilon.

Standard Math library.

Construct a matrix from an array of arrays.

Effective number of bits in the significand of a double-precision floating-point number.

Computes the absolute difference of two real numbers.

Minimum signed 32-bit integer.

Data structures.

Maximum single-precision floating-point number.

Square root of the golden ratio.

π².

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

Computes the transpose of a matrix.

Construct an array of arrays from a matrix.

Creates a zero-filled matrix or array.

Golden ratio.

Returns a string giving the literal bit representation of an unsigned 16-bit integer.

Minimum safe double-precision floating-point integer.