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Master Unconstrained Nonlinear Optimization methods for multi-dimensional continuous functions! When real-world decision ...

This is the first in a series of videos presenting my universal framework for sequential decision analytics, with an emphasis on ...

SoME5 #optimization This video describes a pseudospectral optimal control solution to the brachistochrone problem. It details the ...

Nonlinear Control and Reachability for Reusable Launch Vehicles by Benjamin Chung PreTalx: ...

Key note talk at https://sites.google.com/robotics.utias.utoronto.ca/icra26-frontiers-optimization/home.

A summary video of the lecture video "OR Optimization.

This lecture gives a high level overview of the intuitions, importance, and applications of convexity in optimization problems.

Dive into Lyapunov stability, one of the most fundamental and important concepts in control theory and system dynamics.

Part 4 of my series on sequential decision analytics for optimization illustrates how to take a classical deterministic approximation ...

In this video, we dive deep into the mechanics of Multivariable Newton's Method, breaking down complex root-finding frameworks ...

Watch the full series (recommended order): https://www.youtube.com/playlist?list=PLP-QigDOxJdWFs2bvIIJf0YtIpX-f_26Z New ...

Conjugate Gradient Descent is 2-4X FASTER than standard Gradient Descent! In this video, I'll show you exactly how it works ...

Jingye Xu - Georgia Tech Asymptotically Strong Dual of Smooth Nonconvex Problems: A Smooth Shapley–Folkman Perspective ...

A question that regularly comes up... AI or Optimization? Usually this question comes up when we talk to customers about ...

... research I am professor Arvind Prasad Today we will look into uh nonlinear programming and we will use a Newton's method to ...

This inherits various difficulties from nonlinear optimization: the need for good initial guesses, getting stuck in local minima, and ...

From a Bayesian perspective, score-based diffusion solves inverse problems through joint inference, embedding the likelihood ...

Key note talk at https://sites.google.com/robotics.utias.utoronto.ca/icra26-frontiers-optimization/home.

Now with this what we have h is a pretty good um reformulation of the problem This is a convex optimization problem So this is ...

Part 3 of my series of sequential decision analytics for optimization provides a tour of the four classes of policies, making the point ...