iterative-methods

Open-source implementation of AlphaEvolve

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

BART: Toolbox for Computational Magnetic Resonance Imaging

Analyze Data with Pandas-based Networks. Documentation:

Algebraic Multigrid in Julia

Julia code for the book Numerical Linear Algebra

This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.

A fast forward- and inverse kinematics solver for Arduino based on the FABRIK algorithm. The solver supports up to 4 DOF.

Numerical computation in native Haskell

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.

An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process

Code for our work on pose-estimation using template 3D models.

This repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contribute as developer to this project please contact e.di.napoli@fz-juelich.de.

General phase regularized MRI reconstruction using phase cycling

Flexible, non-allocating Julia implementations of the CG and BiCGStab methods.

Matrix-free SPICE model

Mulitprecision Arrays

In this paper, we will be evaluating numerical methods for direct and iterative solvers of linear systems. From class we have discussed the various methods; Gauss elimination with pivoting techniques, Jacobi Iterative Method, Gauss-Seidel Iterative Method, Successive Over-Relaxation Method, Iterative Refinement Method, and Conjugate Gradient Method. In this paper, using Python programming language, we will discuss how each method evaluates various linear systems of equations, and then we will discuss the complexity, accuracy, and stability of each method