@stdlib/math-base-special-gamma-lanczos-sum-expg-scaled
Calculate a scaled Lanczos sum for the approximation of the gamma function.
@stdlib/math-base-special-kernel-betainc
Incomplete beta function and its first derivative.
@stdlib/math-base-special-gamma-lanczos-sum
Calculate the Lanczos sum for the approximation of the gamma function.
@stdlib/constants-float64-gamma-lanczos-g
Arbitrary constant `g` to be used in Lanczos approximation functions.
@stdlib/math-base-special-fast-uint32-log2
Compute an integer binary logarithm (base two).
@stdlib/math-iter-utils-continued-fraction
Evaluate the terms of a continued fraction.
https://github.com/baggepinnen/basisfunctionexpansions.jl
Basis Function Expansions for Julia
https://github.com/casus/pde-learning
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces
ml-optimized-orthogonal-basis-pp
Experimental results for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
math-base-special-gamma-lanczos-sum-expg-scaledf
This repository provides an efficient implementation of the scaled gamma function using the Lanczos sum. It aims to enhance numerical accuracy in computations, making it a valuable tool for developers working with mathematical applications. 🛠️📊
constants-float32-gamma-lanczos-g
Arbitrary constant `g` to be used in Lanczos approximation functions.
ml-optimized-orthogonal-basis-1d-pp
Experimental Python code developed for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
BestApproximation
Very small Julia package to find the best exponential approximation of a given number
