Mathematical Optimization & Why Convexity Is the WatershedEE364a · Convex Optimization I · Lec 1·Convexity, Duality & Linear Programming · Stephen Boyd · Stanford UniversityStephen BoydStanford University5 ch1:20:32
Convex Optimization with Abstract Linear OperatorsEngineering·Conference Talk·Control & Dynamical Systems · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:04:29
Antifragile: Convexity, Optionality, and Systems That Gain from DisorderEngineering·Public Lecture·Convexity, Duality & Linear Programming · Nassim Nicholas Taleb · New York UniversityNassim Nicholas TalebNew York University—55:40
Computing Lyapunov Functions I6.832 · Underactuated Robotics · Lec 8·Convex Optimization · Russ Tedrake · MITRuss TedrakeMIT—1:23:56
Convex Functions — First/Second-Order Conditions & EpigraphsEE364a · Convex Optimization I · Lec 3·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University4 ch1:17:14
Affine Sets, Convex Sets, Cones & HyperplanesEE364a · Convex Optimization I · Lec 2·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University4 ch1:16:51
Geometric Interpretation of Duality, Sensitivity & Theorems of AlternativesEE364a · Convex Optimization I · Lec 7·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:14:37
Regularized Least Squares, Multi-Objective Optimization & Gauss-NewtonIntroduction to Linear Dynamical Systems · Lec 7·Convex Optimization · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:15:46
Jacobian Singularities, Static Force Propagation & Explicit FormsCS223A · Introduction to Robotics · Lec 7·Convex Optimization · Oussama Khatib · Stanford UniversityOussama KhatibStanford University—1:09:14
Saddle-Point Interpretation, KKT Conditions & PerturbationEE364a · Convex Optimization I · Lec 6·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University4 ch1:09:19
Convex Optimization Problems — LP, QP, SOCP & SDPEE364a · Convex Optimization I · Lec 4·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University4 ch1:13:38
The Lagrangian, Dual Function & Slater's ConditionEE364a · Convex Optimization I · Lec 5·Classical & Statistical Mechanics · Stephen Boyd · Stanford UniversityStephen BoydStanford University4 ch1:16:10
Geometric Problems ContinuedEE364a · Convex Optimization I · Lec 13·Control & Dynamical Systems · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:15:17
Statistical EstimationEE364a · Convex Optimization I · Lec 11·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:17:03
Lagrange Duality, Dual Decomposition & Generalized InequalitiesEE364a · Convex Optimization I · Lec 8·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:16:30
Duality TheoryEE364a · Convex Optimization I · Lec 9·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:16:36
Approximation and FittingEE364a · Convex Optimization I · Lec 10·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:17:55
Unconstrained MinimizationEE364a · Convex Optimization I · Lec 15·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:16:45
Geometric ProblemsEE364a · Convex Optimization I · Lec 12·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:16:05
Interior-Point MethodsEE364a · Convex Optimization I · Lec 18·Signal Processing & Robotics · Stephen Boyd · Stanford UniversityStephen BoydStanford University—1:16:53