lolremez
Approximator
Polynomial Approximation Library
📈 Polynomial Approximations using the Remez Algorithm
400 stars
21 watching
36 forks
Language: C++
last commit: about 3 years agoLinked from 1 awesome list
caerind/awesomecppgamedevRelated projects:
| Repository | Description | Stars |
|---|---|---|
 poslavskysv/rings | A Java/Scala library for efficient polynomial arithmetic and algebraic calculations | 74 |
 ocramz/sparse-linear-algebra | Provides a platform for scientific computation in Haskell with focus on linear algebra and numerical analysis | 89 |
 zarathustr/libqpep | A C++/MATLAB library for solving generalized quadratic pose estimation problems and related uncertainty description | 173 |
 tompazourek/rationals | A .NET library implementing arbitrary precision rational number arithmetic | 80 |
 bodigrim/poly | A Haskell library for manipulating polynomials with efficient arithmetic operations and scaling. | 67 |
 ddemidov/amgcl | A C++ library that uses the algebraic multigrid method to solve large sparse linear systems in scientific computing | 751 |
 dppalomar/sparseeigen | This project provides an R package for estimating sparse eigenvectors of matrices. | 12 |
 rawify/polynomial.js | A JavaScript library to work with polynomials and perform algebraic operations | 126 |
 zjelveh/learning-fair-representations | An implementation of Zemel et al.'s 2013 algorithm for learning fair representations in machine learning | 26 |
 linclark/algorithms-101 | An educational resource for learning fundamental algorithms in JavaScript | 79 |
 sgreben/piecewiselinear | A lightweight linear interpolation library for Go | 27 |
 okerew/okrolearn | A Python machine learning library providing efficient array operations and neural network functionality | 3 |
 petarv-/algorithms | A collection of C++ implementations of various algorithms and data structures | 648 |
 mlpack/ensmallen | A C++ library for numerical optimization tasks | 754 |
 blas-lapack-rs/accelerate-src | Provides optimized linear algebra and numerical computing capabilities via the Accelerate framework | 17 |