Optimization, part 1:
convex sets

This course is Part I of a convex optimization series based on Boyd's textbook.
It emphasizes the mathematical and intuitive understanding of convex sets, functions, and optimization problems.

Instructor

Dr. Waleed A. Yousef
Adjunct Professor,
University of Victoria, Canada.

Textbook

Boyd, S., & Vandenberghe, L. (2004). Convex Optimization.

Prerequisites

  • Single Variable Calculus

Videos & Materials

  • 17 lectures (7 hours)
  • Lecture notes
  • Homeworks

    • TA (check your plan)

  • Discussion groups
  • TA-human texting for Q&A
  • TA-GPT (coming soon)

    • Certificate

    Awarded after passing a brief sample exam, which you may attempt multiple times

    What will you learn?

    This course is part I of a series of courses. It offers a rigorous introduction to convex optimization, guided by Boyd's foundational textbook. Covering the first half of Part I, it includes comprehensive lecture notes with all necessary proofs, enhancing the textbook material.

    The course balances mathematical rigor with intuitive understanding, focusing on convex sets, functions, and optimization problems. It provides the basic mathematical treatment of convex set.

    Course Content

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