iterative-methods

Analyze Data with Pandas-based Networks. Documentation:

BART: Toolbox for Computational Magnetic Resonance Imaging

Numerical computation in native Haskell

Algebraic Multigrid in Julia

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

This is a Julia package for a book project.

Julia code for the book Numerical Linear Algebra

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

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.

Matlab, Python, and R codes for crunchingnumbers(a)live

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

General phase regularized MRI reconstruction using phase cycling

Code repo for "Deep Iterative Residual Convolutional Network for Single Image Super-Resolution" (ICPR 2020).

Numerical Techniques (Matrix Decomposition, Matrix Equation Solvers, Inversion, Iterative Root Finding), All Implemented from scratch in Python

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

Solve large sparse linear systems in R using the amgcl library

Version of TeaLeaf using CUDA

A simple laplacian solver using iterative methods written in c++

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.

Real-space grid Density Functional Theory for large systems

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.

3D Port of TeaLeaf

F-1 method

Predict the customer flow (user payments) per day during the next 14 days for each shop on Koubei.com. Top 5% ranking solution for a Tianchi big data competition.

Computatinal physics University of Oslo

Version of TeaLeaf3d using the HYPRE library

Version of TeaLeaf using the Tpetra, Ifpack2 and Belos packages from the Trilinos libraries

A MATLAB toolbox for density evolution

Flexible, non-allocating Julia implementations of the CG and BiCGStab methods. Compatible with ForwardDiff.jl.

SPMR: A family of saddle-point minimal residual solvers