Optimization

Introduction to optimization 🚀

Prerequisites:

Courses:

  • Convex Optimization I by John Duchi - CO-I
  • Convex Optimization II by John Duchi - CO-II
  • Optimization Theory by Teng Zhang - Opt. Theory
  • Convex Optimization by Javier Peña and Ryan Tibshirani - Convex Opt.
  • Optimization Methods for Large-Scale Systems by L. Vandenberghe - Large-Scale
  • The complexities of optimization by Sébastien Bubeck - Complexities
  • Large Scale Optimization and Learning Part I: Convex Optimization (EE381V) by Constantine Caramanis - Learning & Opt.
  • Convex optimization by Zaiwen Wen - Complexities
  • Advanced Topics in Convex Optimization by Emmanuel Candes - Adv. Opt.

Books & Lectures:

  • Introductory Lectures on Convex Optimization – A Basic Course by Y. Nesterov - A Basic Course
  • Convex Optimization by S. Boyd and L. Vandenberghe - Convex Optimization
  • Numerical Optimization by J. Nocedal and S. Wright - Numerical Optimization
  • Convex Optimization: Algorithms and Complexity by Sébastien Bubeck - Complexity

Blogs:

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Md Sarowar Morshed
Research Assistant, Mechanical and Industrial Engineering

My research interests include large-scale optimization