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Related lectures (31)
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Chemical Reaction Optimization: Multi-Task Learning
Explores multi-task learning for accelerated chemical reaction optimization, showcasing challenges, automated workflows, and optimization algorithms.
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.
Deep Generative Models in Drug Discovery
Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.
Optimization: Classical Problems
Covers classical optimization problems, brute force algorithms, and integer linear optimization.
MILP Model and Typical Days by FM
Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.
Lipschitz Gradient Theorem
Covers the Lipschitz gradient theorem and its applications in function optimization.
Fluorescent Protein Stability Assessment
Covers protein stability assessment using RFP and GFP, flow cytometry, mutagenesis, calcium reporters, and CRISPR-Cas9 experiments.
Environmental Impact Studies: Introduction
Covers the basics of environmental impact studies, including multidisciplinary approaches, project presentations, and group projects.
Convex Sets: MGT-418 Lecture
On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
Energy Optimization in Memory Systems
Explores energy optimization in memory systems, emphasizing the importance of memory hierarchies and trade-offs between reliability and timeliness.
Energy System Optimization: EPFL Project Overview
Introduces the EPFL project based learning approach for optimizing energy systems through theory, project tasks, and tools.
Two Stage Heat Pump: Application and Optimization
Covers the application and optimization of a two-stage heat pump system, emphasizing accurate modeling and optimization for energy systems.
Geodesic Convexity: Basic Facts and Definitions
Explores geodesic convexity, focusing on properties of convex functions on manifolds.
Design Optimization in ChemBio
Explores the design optimization of sensors and bioluminescent proteins for drug monitoring and metabolite visualization.
Lagrange Multipliers: Optimization in 2 Variables
Explores Lagrange multipliers for optimizing functions in 2 variables, emphasizing global and local extrema.
System Architecture and Concept Generation
Explores system architecture, concept generation methods, and the importance of managing complexity in design.
Retiming Techniques: Optimization and State Extraction
Explores relaxation-based retiming techniques and state extraction methods using Binary Decision Diagrams.
Markov Chains and Algorithm Applications
Covers the application of Markov chains and algorithms for function optimization and graph colorings.
Improving Efficiency of Buildings
Covers recovering heat, reducing temperature, and optimizing energy systems in buildings.
Riemannian gradient descent
Explores Riemannian gradient descent, covering Taylor expansions, optimality conditions, algorithm templates, line search, and critical points.
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