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Lecture
Design Optimization: Principles and Applications
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Related lectures (30)
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Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Heuristic Optimization Methods
Explores heuristic optimization methods to find the global optimum efficiently.
Markov Chains and Algorithm Applications
Covers the application of Markov chains and algorithms for function optimization and graph colorings.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Computational Aspects of Optimization
Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.
Concept Selection and Tradespace Exploration
Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.
Design Definition and Multidisciplinary Optimization
Explores design solution definition, multidisciplinary optimization, and challenges in system design optimization, including the roots and motivation behind Multidisciplinary Design Optimization.
Approximation Algorithms
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Energy System Modeling: Optimization and Performance Indicators
Explores energy system modeling using optimization techniques and performance indicators.
