JSPM

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.

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.

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.

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.

Cube root of double-precision floating-point epsilon.

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.

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

Computes cos(πx).

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

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.

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

Maximum signed 16-bit integer.

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

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.

Computes the binomial coefficient.

Gamma function.

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.