This tiny stdlib module provides a function for evaluating the normalized (probabilist) Hermite polynomial Heₙ(x) using single‑precision (float32) arithmetic, with an optional factory to create a reusable evaluator for a fixed degree n. It’s aimed at JavaScript developers—both in Node.js and browsers—who need fast, reliable special‑function computations in scientific or statistical code.
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Support the dependencies of stdlib-js/math-base-tools-normhermitepolyf
Test if a finite double-precision floating-point number is an integer.
Test if a single-precision floating-point numeric value is NaN.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
stdlib TypeScript type declarations.
Constant function.
Define a non-enumerable read-only property.
Create a zero-filled array having a specified length.
Insert array element values into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Compute the absolute value of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Apply a unary function to a single-precision floating-point strided input array and assign results to a single-precision floating-point strided output array.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use ca
Minimal TAP output formatter.
Benchmark harness.
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