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In this video we are going to talk about a topic from nonlinear optimization called Gradient Descent (or Gradient Ascent if you want ...

A gentle and visual introduction to the topic of Convex Optimization. (1/3) This video is the first of a series of three. The plan is as ...

A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of ...

This video discusses optimal nonlinear control using the Hamilton Jacobi Bellman (HJB) equation, and how to solve this using ...

We take a look at Newton's method, a powerful technique in Optimization. We explain the intuition behind it, and we list some of its ...

This video introduces a really intuitive way to solve a constrained optimization problem using Lagrange multipliers. We can use ...

Lagrange Multipliers solve constrained optimization problems. That is, it is a technique for finding maximum or minimum values of ...

This is a video supplement to the book "Modern Robotics: Mechanics, Planning, and Control," by Kevin Lynch and Frank Park, ...

This video lecture gives an overview for solving nonlinear optimization problems (a.k.a. nonlinear programming, NLP) problems.

1️⃣ Linear Programming (LP) 2️⃣ Quadratic Programming (QP) 3️⃣ Nonlinear Programming (NLP) 4️⃣ Mixed Integer ...

A gentle and visual introduction to the topic of Convex Optimization (part 3/3). In this video, we continue the discussion on the ...