Optimization Techniques - W2023 - Lecture 1 (Preliminaries)

The course "Optimization Techniques" (ENGG*6140, section 2) at the School of Engineering at the University of Guelph. Instructor: Benyamin Ghojogh
Lecture 1 includes introduction to the course, introduction to optimization, and some preliminaries, including univariate and multivariate optimization, optimization versus search, interior and boundary of set, convex set, convex hull, minimum, maximum, infimum, supremum, and inner product.

Chapters:

0:00 - Introduction
2:56 - Course outline
25:36 - Course materials
35:16 - Course's websites
37:18 - Course evaluation
54:07 - What is optimization?
1:12:59 - Univariate and multivariate optimization
1:16:39 - Unconstrained and constrained optimization
1:24:14 - Optimization versus search
1:37:34 - Interior and boundary of set
1:41:36 - Convex set and convex hull
1:45:24 - Min, max, inf, sup
1:48:03 - Inner product

[yousef.ghojogh]

My dear son, Dr. Benyamin!
As I expected, you presented this lesson very well and with complete mastery to the esteemed students of the University of Guelph.
I was sure of the quality of teaching to the students of this university. Since you had written an academic book on artificial intelligence and machine learning published by Spinger Press.
Your mother and brother and I are proud of you.
We sincerely congratulate you!

[yousef.ghojogh]

I think I wrote the title of the book wrong. Sorry.
I will correct the title of the book.
The title of the book written by my son Benyamin and two other professors is:
"Elements of Dimensionality Reduction and Manifold Learning"

[AliArjomandi-fxev]

Hi Benyamin. Thanks for your great lecture. I think you should correct what you told about size of projection at 1:54:23 .