There are 3 repositories under newton-raphson topic.
Advanced Java BigDecimal math functions (pow, sqrt, log, sin, ...) using arbitrary precision.
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Advanced Simulation kit based on Finite Element Method (AsFem)
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
A powerful 3-phase load flow solver, by Roseau Technologies
Nonlinear Equation Solver with Modern Fortran
This repository aim to provide with an easy-to-use library to solve non-linear systems of equations.
Schrodinger-Poisson solver in 1D demonstrator
Numerical analysis methods implemented in Python.
A collection of Python programs that helps in Numerical Analysis.
Kotlin library for BigDecimal math functions (pow, sqrt, log, sin, ...) using arbitrary precision.
This repository contains homework solution of the Numerical analysis lesson at Shahid Beheshti University.
JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.
A collection of virtual analog models in the form of MATLAB scripts.
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
MATLAB programs for solving the power-flow equations using either of methods: Gauss-Seidel (G-S), Newton-Raphson (N-R) & Fast Decoupled Load Flow (FDLF).
In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm
In this repository I present some of the codes based on different Optimization Methods I developed during my graduation.
Python implementation of Methods and Algorithm or Numerical Computing Course. You just have to Enter the input values from the question and All the iterations will be generated automatically.
MAL111 - Mathematics Laboratory MATLAB Codes. Bisection Method, Fixed Point Method, Gauss Elimination, Gauss Jordan, Matrix Inversion, Lagrange Interpolation, Newton-Raphson, Regula-Falsi, Row Reduced Echelon Form, Simpson's Integration, Trapezoidal Method.
Poisson equation solver in 1D CMOS transistor.
collection of numerical optimization methods
Software that does computational root determination, using Newton's method
Newton root-finding algorithm written in Rust
Forward and Iterative Inverse kinematics of 5DOF arm using Newton-Raphson method
load flow calculation using newton-raphson
Solver for Power Flow Problem :zap:
An implementation of the numerical method for root finding of Newton-Raphson using TensorFlow for automatic derivative calculation and possibility for CUDA acceleration.
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)