Academic Discipline

Mathematics

Linear algebra, real and complex analysis, topology, differential geometry, probability, combinatorics, and number theory.

18courses132standalone talks432total lectures

Subfields

All Mathematics432 Calculus & Analysis164 Linear Algebra107 Category Theory, Topos Theory & Set Foundations60 Topology & Geometry59 Probability & Information Theory39 Combinatorics & Graph Theory34 Control & Dynamical Systems31 Convex Optimization21 Formal Methods & Type Theory21 Number Theory & Abstract Algebra18 Statistical Learning & Causality7 Algorithmic Information & Coding Theory5 Cryptography4 Computational Complexity3

Convex Optimization— Convex sets and functions, Lagrangian duality, KKT optimality, interior-point methods, and linear/semidefinite programming.

1 topics

All Convex Optimization Convexity, Duality & Linear Programming10

jknavigate↵watchcchaptersssavexwatched

Save

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 1·Convex Optimization · Steve Brunton · University of Washington

Steve Brunton

University of Washington

22:28

The Anatomy of an Optimization Problem

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 2·Convexity, Duality & Linear Programming · Steve Brunton · University of Washington

Steve Brunton

University of Washington

25:36

Applications of Optimization in Machine Learning and Engineering

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 3·Convex Optimization · Steve Brunton · University of Washington

Steve Brunton

University of Washington

25:23

Convexity 101

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 4·Convexity, Duality & Linear Programming · Steve Brunton · University of Washington

Steve Brunton

University of Washington

14:58

The unreasonable effectiveness of the convexity assumption in high dimensions

Mathematics·Research Seminar·Convex Optimization · Bo'az Klartag · UC Berkeley

Bo'az Klartag

UC Berkeley

52:23

Convex Functions

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 6·Convex Optimization · Steve Brunton · University of Washington

Steve Brunton

University of Washington

16:35

Proof: All Norms Are Convex

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 7·Convex Optimization · Steve Brunton · University of Washington

Steve Brunton

University of Washington

18:51

Convexity and Global Minima in Optimization

Optimization Bootcamp: Convex Optimization for ML & Control · Lec 9·Convexity, Duality & Linear Programming · Steve Brunton · University of Washington

Steve Brunton

University of Washington

20:26

Orthogonal Matrices and Gram-Schmidt

18.06 · Linear Algebra · Lec 16·Convex Optimization · Gilbert Strang · MIT

Gilbert Strang

MIT