Comparison descent directions for Conjugate Gradient Method

Introduction to Method of Steepest Descent

Implementing the Steepest Descent Algorithm in Python from Scratch, by Nicolo Cosimo Albanese

The steepest descent algorithm.

A Steepest Descent Method for Set Optimization Problems with Set-Valued Mappings of Finite Cardinality

Applied Optimization - Steepest Descent

Conjugate gradient methods - Cornell University Computational Optimization Open Textbook - Optimization Wiki

Chapter 4 Line Search Descent Methods Introduction to Mathematical Optimization

example of steepest Descent (left) and Conjugate Gradient (right)

MathType - The #Gradient descent is an iterative optimization #algorithm for finding local minimums of multivariate functions. At each step, the algorithm moves in the inverse direction of the gradient, consequently reducing

Steepest Descent - an overview