Iterative algorithms for solving linear systems, eigensystems, and singular value problems
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Updated
Nov 18, 2024 - Julia
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
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 [email protected].
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 Met…
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
A MATLAB toolbox for density evolution
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