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Design Definition and Multidisciplinary Optimization
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Related lectures (31)
Design Optimization: Principles and Applications
Covers design optimization principles, virtual prototypes, multi-objective optimization, and challenges in the field.
Chemical Reaction Optimization: Multi-Task Learning
Explores multi-task learning for accelerated chemical reaction optimization, showcasing challenges, automated workflows, and optimization algorithms.
MILP Model and Typical Days by FM
Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.
Geometric Computing Laboratory: Inverse Design Optimization
Explores inverse design optimization in geometric computing, covering topics such as deployable structures, material-aware design, and programmed materials.
Optimisation Strategies: Energy Systems Modelling and Optimization
Explores solving strategies for energy system optimization problems and different types of optimization approaches.
Optimization: Classical Problems
Covers classical optimization problems, brute force algorithms, and integer linear optimization.
Structures in Non-Convex Optimization
Covers non-convex optimization, deep learning training problems, stochastic gradient descent, adaptive methods, and neural network architectures.
Fluorescent Protein Stability Assessment
Covers protein stability assessment using RFP and GFP, flow cytometry, mutagenesis, calcium reporters, and CRISPR-Cas9 experiments.
Energy System Optimization at EPFL
Explores the optimization of EPFL's energy system through defining demands, analyzing options, and applying optimization techniques.
Design Optimization in ChemBio
Explores the design optimization of sensors and bioluminescent proteins for drug monitoring and metabolite visualization.
System Architecture and Concept Generation
Explores system architecture, concept generation methods, and the importance of managing complexity in design.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Inverse Design and Sensitivity Analysis
Explores optimal transport, transforming light, inverse design optimization, and sensitivity analysis for shape optimization.
Energy Optimization in Memory Systems
Explores energy optimization in memory systems, emphasizing the importance of memory hierarchies and trade-offs between reliability and timeliness.
Hybrid CRFs: Design and Optimization
Explores the design challenges and benefits of hybrid CRFs, emphasizing low loss and simultaneous optimization for improved performance.
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.
Examination Procedure and Energy System Optimization
Explores examination procedures, energy system optimization, PV systems, and financial metrics.
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.
Energy System Optimization: EPFL Project Overview
Introduces the EPFL project based learning approach for optimizing energy systems through theory, project tasks, and tools.
Optimization Methods
Covers the Newton's local method in Python using NumPy for optimization.
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