Add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.
Binomial distribution constructor.
An ember-addon that provides additional QUnit 2.0 assertions specific to Ember.js.
Apply a callback to elements in an input ndarray and assign results to elements in a new output ndarray.
The Assertion Tool is designed to enhance your testing framework by allowing tests to continue running even when assertions fail. Instead of halting the test upon an assertion failure, it will capture the error and continue running the test suite.
Create a filled four-dimensional nested array.
Test if a value is an uppercase string.
Return the index of the last element which equals a provided search element according to the same value algorithm.
Negative binomial distribution.
Create a double-precision floating-point vector (i.e., a one-dimensional ndarray).
Create a filled five-dimensional nested array according to a provided callback function.
Test if a value is a class.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
Compute the sum of absolute values (L1 norm).
Compute a moving maximum incrementally.
Compute the hyperbolic sine of a double-precision floating-point number.
Standard logistic function.
Apply a unary function to a double-precision floating-point strided input array and assign results to a double-precision floating-point strided output array.
Flatten an array.
RFC8941 Structured Field Values implementation
Return the first index of a specified search element in a double-precision floating-point strided array.
Apply a unary function to a double-precision floating-point strided input array according to a strided mask array and assign results to a double-precision floating-point strided output array.
Double-precision floating-point NaN.
Sort a single-precision floating-point strided array using heapsort.