Numerical Computing

FP16, or half-precision floating point, is a data format that uses 16 bits to represent numbers in computing.

JAX is a numerical computing library that enables high-performance machine learning and scientific computing using Python.

Numerical Derivative estimates the rate of change of a function using discrete data points, crucial in various computational applications.

Numerical Integration is a technique used to approximate the integral of a function using discrete data points.

Numerical methods are techniques used to solve mathematical problems through numerical approximation.

Numerical Recipes are algorithms for performing numerical computations in various scientific and engineering applications.