JSPM

Computes the trimean of a numeric array.

Computes a moving arithmetic mean over an array.

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

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

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

Computes a moving minimum over a numeric array.

Computes an element-wise subtraction.

Computes the Lp norm of an array of values.

Provides a method to compute a minimum value incrementally.

Computes the product.

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

Computes for each array element whether an element is NaN.

Computes an element-wise principal square root.

Computes the minimum value of an array.

Provides a method to compute an arithmetic mean incrementally.

Computes quantiles for an array ignoring non-numeric values.

Computes the sum.

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.

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.

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

Provides a method to compute a maximum value incrementally.

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

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

Computes the geometric mean of 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.

Pi.

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

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.

Signum function.

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

Computes the cumulative maximum of a numeric array.

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.

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

Generates array tuples from input arrays.

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

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.

Computes bˣ - 1.

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

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

Euler's number.

Signum function.

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

Computes the Minkowski distance between two arrays.

Golden ratio.

Creates a NaN-filled matrix or array.

Maximum signed 8-bit integer.

Apéry's constant.

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.

Computes the Chebyshev distance between two arrays.

2π.

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.

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

Natural logarithm of 10.

Computes exp(x) - 1.

Minimum signed 16-bit integer.

Computes the sum of absolute values (L1 norm).

Maximum double-precision floating-point number.

Creates a filled matrix or array.

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.

Returns the minimum value of a specified integer type.

Maximum single-precision floating-point number.

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.

π².

Square root of the golden ratio.

Creates a zero-filled matrix or array.

Golden ratio.

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

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.

Minimum safe double-precision floating-point integer.

Anagram hash table.

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

Computes the natural logarithm of 1+x.

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

Natural logarithm of the beta function.

Cube root of double-precision floating-point epsilon.

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

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

Computes cos(πx).

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

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

Minimum signed 8-bit integer.

Smallest positive single-precision floating-point number.

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

Interchanges the elements of x and y.

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

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

Square root of 1/2.

Minimum signed 16-bit integer.

Minimum signed 8-bit integer.

Segments an array into chunks.

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

Creates an infinity-filled matrix or array.

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

Creates a single-precision floating-point number from an unsigned integer corresponding to an IEEE 754 binary representation.

Maximum signed 16-bit integer.

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

Computes a factorial.

Revives a JSON-serialized Matrix.

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

Base 10 logarithm of Euler's number.

Evaluates the digamma function.

Gamma function.

Computes the binomial coefficient.

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

Beta function.

Inverse incomplete gamma function.

Computes the relative difference of two real numbers in units of double-precision floating-point epsilon.

Computes the relative difference of two real numbers.