matrices - How is the preconditioned conjugate gradient algorithm related to the steepest descent method? - Mathematics Stack Exchange

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}

Preconditioned Conjugate Gradient Algorithm (PCG)

Solving Poisson Equation using Conjugate Gradient Method and its implementation

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization - ScienceDirect

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization - ScienceDirect

Conjugate Gradient and Multivariate Newton

Projected gradient descent algorithms for quantum state tomography

Distributed estimation over sensor networks based on distributed conjugate gradient strategies - Xu - 2016 - IET Signal Processing - Wiley Online Library

optimization - Why is Newton's method not widely used in machine learning? - Cross Validated

Q-Next: A Fast, Parallel, and Diagonalization-Free Alternative to Direct Inversion of the Iterative Subspace

linear algebra - Confused on Properties of Residuals in the Conjugate Gradients Method - Mathematics Stack Exchange

Linear Algebra

Conjugate Gradient Method and it's Application in Energy Minimization, by Akshay Shah