GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
-
Updated
May 28, 2024 - MATLAB
GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
Advanced Simulation kit based on Finite Element Method (AsFem)
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.
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
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.
Library that handles static, dynamic and non-linear procedures.
HELMpy, open source package of power flow solvers, including the Holomorphic Embedding Load Flow Method (HELM), developed on Python 3
This repository aim to provide with an easy-to-use library to solve non-linear systems of equations.
This repository contains homework solution of the Numerical analysis lesson at Shahid Beheshti University.
Implementation for different numerical algorithms
Numerical analysis methods implemented in Python.
collection of numerical optimization methods
Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics
Nonlinear Equation Solver with Modern Fortran
Kotlin library for BigDecimal math functions (pow, sqrt, log, sin, ...) using arbitrary precision.
Implementation of main numerical methods of solving non-linear equations f(x)=0 with examples.
Computational Studies of Adja Magatte Fall Internship
An implementation of the numerical method for root finding of Newton-Raphson using TensorFlow for automatic derivative calculation and possibility for CUDA acceleration.
Add a description, image, and links to the newton-raphson topic page so that developers can more easily learn about it.
To associate your repository with the newton-raphson topic, visit your repo's landing page and select "manage topics."