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Optimization and Simulation

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Related lectures (36)

Explores optimization and simulation techniques for variance reduction in draws.

Multi-Objective Optimization: Methods & Solutions

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(Un)Bumping Cars Log in to Mediaspace to watch this video

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Hydrologic Parameters Optimization Log in to Mediaspace to watch this video

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Introduction to Optimization and Operations Research Log in to Mediaspace to watch this video

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Applied Mechanical Design: Detail Design Log in to Mediaspace to watch this video

Explores the process of detail design in mechanical engineering, from concept to final design.

Optimization Techniques: Stochastic Gradient Descent and Beyond Log in to Mediaspace to watch this video

Discusses optimization techniques in machine learning, focusing on stochastic gradient descent and its applications in constrained and non-convex problems.

Connect Four: Alpha-Beta Pruning and Monte-Carlo Tree Search Log in to Mediaspace to watch this video

Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.

SAT Solver: Optimization Techniques Log in to Mediaspace to watch this video

Explores optimization techniques in SAT solvers and their application in Sudoku solving.

Optimization vs. Simulation in Energy Systems Engineering Log in to Mediaspace to watch this video

Discusses optimization vs. simulation in energy systems engineering, district heating networks, and scientific writing guidelines.

Projection Matrices: Min-Cut and Gradient Descent Log in to Mediaspace to watch this video

Explores projection matrices in the context of min-cut and gradient descent algorithms, emphasizing their role in optimization.

Constrained optimization: the basics Log in to Mediaspace to watch this video

Covers the basics of constrained optimization, including tangent directions, trust-region subproblems, and necessary optimality conditions.

Relations Between Events Log in to Mediaspace to watch this video

Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.

Non-Convex Optimization: Techniques and Applications Log in to Mediaspace to watch this video

Covers non-convex optimization techniques and their applications in machine learning.

Scalable and Trustworthy Learning: Challenges and Solutions Log in to Mediaspace to watch this video

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