matrices - How is the preconditioned conjugate gradient algorithm related to the steepest descent method? - Mathematics Stack Exchange
Por um escritor misterioso
Descrição
There is a method to greatly simplify the preconditioned conjugate method into the steepest descent method, also known as gradient descent. I'm aware that the gradient is equal to $$2A^t(A\vec{x}
Q-Next: A Fast, Parallel, and Diagonalization-Free Alternative to Direct Inversion of the Iterative Subspace
Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods
Computing the Action Ground State for the Rotating Nonlinear Schrödinger Equation
Preconditioned Conjugate Gradient Descent (ILU)
PDF) Preconditioned steepest descent-like methods for symmetric indefinite systems
magnum.np: a PyTorch based GPU enhanced finite difference micromagnetic simulation framework for high level development and inverse design
Iterative Methods for Linear Systems - MATLAB & Simulink - MathWorks América Latina
The conjugate gradient method
Problem 3: Convergence of the preconditioned conjugate gradient method
Distributed estimation over sensor networks based on distributed conjugate gradient strategies - Xu - 2016 - IET Signal Processing - Wiley Online Library
Solving Poisson Equation using Conjugate Gradient Method and its implementation
