There are 0 repository under iterative-methods topic.
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
Algebraic Multigrid in Julia
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.
Julia code for the book Numerical Linear Algebra
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.
Code for our work on pose-estimation using template 3D models.
An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process
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
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
Flexible, non-allocating Julia implementations of the CG and BiCGStab methods.
Curso de Métodos Numéricos empleando las herramientas Jupyter Notebook y programado en Python V3.11
A simple computer program for calculating stress and strain rate in 2D viscous inclusion-matrix systems
Solving the load flow problem using Guass-Seidel iterative method. Written in C++.
Introduction to Numerical methods
Computatinal physics University of Oslo
asymmetric linear system solver by using BiCGSTAB method with diagonal preconditioning.
Code repo for "Deep Iterative Residual Convolutional Network for Single Image Super-Resolution" (ICPR 2020).
Real-space grid Density Functional Theory for large systems
F-1 method
Approximation algorithm to solve Optimal Control problems using the Adjoint Method. Assumes your controller is based on a parametric model. Uses Forward-Backward-Sweep adjoint method.
Repository with auxilar material for the course of Numerical Calculus
A simple laplacian solver using iterative methods written in c++
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.