There are 1 repository under polynomial topic.
Apache Commons Math
oj! Algorithms
A Cross-platform Library for Swift
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
General-Purpose Computer Algebra System as an EDSL in Haskell
Root-Finder is a header-only univariate polynomial solver, which finds/counts all real roots of any polynomial within any interval.
Micro Linear Algebra Package
python package implementing a multivariate Horner scheme for efficiently evaluating multivariate polynomials
MultivariatePolynomials implementation using typed variables in Julia
Generates MinMax polynomial approximations of functions. Stable implementation of the Remez Algorithm using multi-precision arithmetic. Also does C/C++ code generation!
Type level algebraic "proofs" using lens combinators
一个支持多项式计算与方程求解的小型C++数学库
Irene is a python package that aims to be a toolkit for global optimization problems that can be realized algebraically. It generalizes Lasserre's Relaxation method to handle theoretically any optimization problem with bounded feasibility set. The method is based on solutions of generalized truncated moment problems over commutative real algebras.
a strange book discussing basic stuffs of polynomials
Legendre polynomials and associated Legendre polynomials computed using 3-term recursions
An open-source library for generating trajectories (multi-axis, multi-segment) using two different methods (trapezoidal, polynomial).
Comprehensive univariate polynomial class. All arithmetic performed symbolically. Some advanced features include: Arithmetic of polynomial rings over a finite field, the Tonelli-Shanks algorithm, GCD, exponentiation by squaring, irreducibility checking, modular arithmetic (obviously) and polynomials from roots.
Printer combinators library in F#.
Trajectory Generation For a Quadrotor written in both MATLAB and C++ for ROS
Swift function for calculation of the polynomial regression (least squares fitting) of a given set of points.
A tool to visualize regression analysis using various regression methods.