nonlinear optimization - Do we need steepest descent methods, when minimizing quadratic functions? - Mathematics Stack Exchange

I'm studying about nonlinear programming and steepest descent methods for quadratic multivariable functions. I have a question highlighted in the following picture: My question is: If we can expli

optimization - Steepest Descent in elliptical error surface - Mathematics Stack Exchange

fmincon Interior-Point Algorithm with Analytic Hessian - MATLAB & Simulink

convergence divergence - Interpretation of Noise in Function Optimization - Mathematics Stack Exchange

linear algebra - Boyd & Vandenberghe, Problem 9.6 — Gradient descent step for a quadratic function - Mathematics Stack Exchange

Bayesian optimization with adaptive surrogate models for automated experimental design

Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares

Mathematics, Free Full-Text

Energies, Free Full-Text

Frontiers Interpretable neural networks: principles and applications

Intuition (and maths!) behind multivariate gradient descent, by Misa Ogura

Solved 2.5. Suppose that the steepest-descent method (with

Systems, Free Full-Text

A hybrid greedy political optimizer with fireworks algorithm for numerical and engineering optimization problems