Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Unconstrained Optimization - Properties of Descent Directions and Steepest Descent Direction - Lecture 5

NPTEL-NOC IITM via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the mathematical foundations of optimization in this 21-minute lecture that examines the properties of descent directions with a focus on the steepest descent direction. Learn about Newton direction and trust region methods while gaining practical experience with MATLAB's symbolic toolbox. Part of NPTEL-NOC IITM's unconstrained optimization series, this video provides essential knowledge for understanding how algorithms navigate toward optimal solutions in mathematical optimization problems.

Syllabus

Unconstrained optimization - 5 - properties of descent directions steepest descent direction

Taught by

NPTEL-NOC IITM

Reviews

Start your review of Unconstrained Optimization - Properties of Descent Directions and Steepest Descent Direction - Lecture 5

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.