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Covers the basics of linear algebra, including minimizing costs and optimal packing strategies.
Introduces the FPTAS for the Knapsack problem, focusing on achieving an approximation of (1-ε) times the optimal solution.
Explores greedy heuristics in optimization, integrality constraints, and comparison of optimization methods.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Covers the generalization of the model problem in structural mechanics and explores equilibrium equations and the link between normal force and displacement.
