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Projects in Awesome Lists tagged with newtons-method

A curated list of projects in awesome lists tagged with newtons-method .

https://github.com/jchristopherson/nonlin

A library that provides routines to compute the solutions to systems of nonlinear equations.

bfgs fortran least-squares levenberg-marquardt nelder-mead newton-raphson-multivariable newtons-method nonlinear-equations optimization polynomials quasi-newton

Last synced: 06 Mar 2026

https://github.com/iitrabhi/fenics-workshop

Tutorials and exercises for learning to use FEniCS [Website under construction]

fenics hpc newtons-method picard-approximations workshop

Last synced: 08 Apr 2026

https://github.com/s-baumann/multivariatefunctions.jl

A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.

algebra differentiation integration interpolation julia-language newtons-method

Last synced: 27 Oct 2025

https://github.com/mlazaric/newt

Python script for visualising the basins of attraction of Newton's method.

dismat2 newton-fractals newtons-method pillow python visualization

Last synced: 10 Apr 2025

https://github.com/imd10/math317-numerical-methods

A collection of Python implementations of numerical methods based on the pseudocodes from MATH317 lectures, including Bisection, Horner's method, Complete Horner's method, Newton's method, and Polynomial evaluation techniques.

bisection-method horners-method mathematics newtons-method numerical-methods polynomial

Last synced: 28 Jun 2025

https://github.com/samarth4023/calculus

📚 Calculus - Welcome to the Calculus repository! This collection is designed to help you understand and apply various calculus concepts that are essential for machine learning, data science, and beyond. Whether you are a student, a researcher, or just curious about calculus, you'll find valuable resources here.

derivatives gradient-descent gradients neural-network newtons-method optimization

Last synced: 06 Mar 2026

https://github.com/kkoukouletsou/optimization-techniques

Assignments for Optimization Techniques Course at ECE AUTH. Includes Steepest Descent, Levenberg-Marquardt and a Genetic Algorithm implementation for Network Traffic Optimization.

armijo bisection-method fibonacci genetic-algorithm golden-section levenberg-marquardt newtons-method steepest-descent

Last synced: 09 Sep 2025

https://github.com/tsmith023/rusty-rootsearch

A WIP library for performing multi-root searching of one-dimensional transcendental equations using auto-differentiation in Rust

auto-differentiation newtons-method rust

Last synced: 01 Apr 2025

https://github.com/plusk01/optimization_notes

Miscellaneous collection of optimization related notes

convex-optimization gradient-descent newtons-method nonlinear-optimization

Last synced: 14 Mar 2025

https://github.com/justinlubin/newton-hs

A Newton fractal generator written in Haskell

fractals newton-fractals newtons-method

Last synced: 10 Apr 2026

https://github.com/rockfordwei/newtonraphson

A Swift Library for Newton Raphson Method

equation-solver newton-method newton-raphson newtons-method swift

Last synced: 24 Oct 2025

https://github.com/kkoukouletsou/numerical-analysis-project

Assignments for Numerical Analysis Course at ECE AUTH

bisection-method halley-s-method newtons-method runge-kutta-4

Last synced: 02 Sep 2025

https://github.com/fusion809/lrt-normal-nonconst-var

Likelihood-ratio test for normally distributed populations with non-constant variance. Essentially a LRT equivalent to Welch's ANOVA. Documented in LaTeX, implemented in Python.

likelihood-ratio-test newtons-method statistics-in-python

Last synced: 19 May 2026

https://github.com/justinlubin/newton-js

A Newton fractal generator written in JavaScript

fractals newton-fractals newtons-method

Last synced: 29 Apr 2026

https://github.com/harshal306/houseprediction

Creating an Model for Finding best Prediction

machine-learning newtons-method python27

Last synced: 01 May 2026

https://github.com/nataliarodriguez-uc/auc-opt

Constructing new surrogate loss for optimizing pairwise difference metrics for training contrastive learning. This repo is implementing the loss to train for AUC classification tasks.

auc cifar10 classification contrastive-learning deep-learning julia lagrange-interpolation machine-learning newtons-method optimization python support-vector-machines

Last synced: 08 May 2026