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Related lectures (31)
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Linear Programming Duality
Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.
Poincaré Group and Lorentz Subgroup
Explores the Poincaré group and Lorentz subgroup in theoretical physics.
Primal-dual Optimization: Fundamentals
Explores primal-dual optimization, minimax problems, and gradient descent-ascent methods for optimization algorithms.
Lie Algebra Representation
Delves into Lie algebra representation and Lorentz subgroup concepts.
Distribution & Interpolation Spaces
Covers the concept of distributions with compact support and their interpolation spaces.
Quantum Field Theory: Lorentz and Poincaré Groups Representations
Explores Lorentz and Poincaré groups representations, Poincaré algebra, and Lagrangians in Quantum Field Theory.
Duality Theorems
Explores duality theorems in linear programming, emphasizing optimal solutions and degeneracies.
Elementary Properties of Model Categories
Covers the elementary properties of model categories, emphasizing the duality between fibrations and cofibrations.
Lie Theorems and Group Algebra
Covers Lie theorems, group algebra, Ado's theorem, and spacetime symmetries.
Hamilton-Jacobi Equation: Phase Portrait Analysis
Explores the Hamilton-Jacobi equation and phase portrait analysis in one-dimensional systems, emphasizing the relationship between variables and system evolution.
Linear Optimization: Auxiliary Problem
Explores the formulation of the auxiliary problem in linear optimization and its role in optimal decision-making.
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