🕉 Library for manipulating normalized data structures

Evaluate a normalized Hermite polynomial using single-precision floating-point arithmetic.

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

Evaluate a normalized Hermite polynomial.

Grubbs' test for outliers.

Create an iterator which computes the normalized cardinal sine for each iterated value.

Softmax function, normalize a vector of real numbers into a probability distribution

Moving Grubbs' test for outliers.

Smallest positive normalized single-precision floating-point number.

Return the smallest positive normal value capable of being represented by a numeric real type.

Compute the number of elements in a normalized slice.

Compute the shape of a normalized multi-slice.