Create a zero-filled ndarray having a specified shape and data type.
Compute the nth Lucas number.
Finite State Machines and Statecharts for the Modern Web.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using ordinary recursive summation.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values.
Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
PATTERN_KEY_COMPARE implementation
Compute the cube root of each element in a strided array.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.
Assert values using Joi schemas
Detect native WeakSet support.
Compute the absolute value and the phase of a single-precision complex floating-point number.
Compute the cumulative sum of a one-dimensional ndarray using an improved Kahan–Babuška algorithm.
Laplace distribution excess kurtosis.
Enumerates all boundary cells in a simplicial complex
Intercept and mock outgoing network TCP connections and HTTP requests for testing. Intercepts and gives you a Net.Socket, Http.IncomingMessage and Http.ServerResponse to test and respond with. Useful when testing code that hits remote servers.
Detect native Symbol.asyncIterator support.
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
Compute the sum of all elements in a one-dimensional ndarray using pairwise summation.
Simultaneously sort two strided arrays based on the sort order of the first array using Shellsort.
Rayleigh distribution mode.
Fréchet distribution variance.
Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif