Energy Optimization in Academia

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Related lectures (31)

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Optimization Techniques: Convexity in Machine Learning

Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.

Markov Chains and Algorithm Applications

Covers the application of Markov chains and algorithms for function optimization and graph colorings.

Environmental Impact Studies: Introduction

Covers the basics of environmental impact studies, including multidisciplinary approaches, project presentations, and group projects.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Energy System Optimization at EPFL

Explores the optimization of EPFL's energy system through defining demands, analyzing options, and applying optimization techniques.

Structures in Non-Convex Optimization

Covers non-convex optimization, deep learning training problems, stochastic gradient descent, adaptive methods, and neural network architectures.

Convex Sets: MGT-418 Lecture

On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.

Optimization Methods in Machine Learning

Explores optimization methods in machine learning, emphasizing gradients, costs, and computational efforts for efficient model training.

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.

Active Filters: PPG Application

Covers the design of active filters and heart activity measurement systems using ECG and PPG principles.