- #EPFL OPTIMIZATION AND SIMULATION LAB MASTER SOFTWARE#
- #EPFL OPTIMIZATION AND SIMULATION LAB MASTER SIMULATOR#
It allows for fast programming and easy incorporation of various modules designed for drone and drone swarm simulations.
#EPFL OPTIMIZATION AND SIMULATION LAB MASTER SOFTWARE#
It aims at: simulating single drones simulating swarms of drones This software is designed with versatility and scalability in mind.
#EPFL OPTIMIZATION AND SIMULATION LAB MASTER SIMULATOR#
You are allowed to bring one cheat sheet (A4 size paper, both sides can be used), either handwritten or 11 point minimum font size.įor practice: exam 2020, solutions 2020, exam 2019, solutions 2019, exam 2018, solutions 2018. SwarmLab is a drone swarm simulator written in Matlab. Theoretical questions similar to exercises. Assessment:įinal written exam in exam session on Thursday from 08h15 to 11h15 (CE1, PO01). Project reports (3 page PDF) are due June 18th. The project is mandatory and done in groups of 3 students. Project:Ī mini-project will focus on the practical implementation: Here we encourage students to investigate the real-world performance of one of the studied optimization algorithms or variants, helping to provide solid empirical evidence for some behaviour aspects on a real machine-learning task. Master thesis: Real time test bench for accelerometer simulation Unpublished masters.
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Solutions to theory exercises are available here, and for practicals in the lab folder. 2011-2015 PhD EPFL 2009 Master Thesis University of Waikato. The weekly exercises consist of a mix of theoretical and practical Python exercises for the corresponding topic each week (starting week 2). Non-Convex Optimization, Accelerated Gradient Descent Optimization Project Lab : Null : March 11 : Optimization Project Lab : Null : March 18 : Presentation of Optimization Project : Null : March 25 : Poisson Process : Introduction to Simulation lab Ex 1 Poisson Process: April 01 : Discrete Event Simulation Statistical Analysis and Bootstrapping : Ex 2 Discrete Event Simulation Ex 3 Statistical. Stochastic Gradient Descent, Non-Convex Optimization
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on Computer Science at the Ecole Polytechnique Fdrale de Lausanne (EPFL). Non-Convex Optimization: Convergence to Critical Points, Alternating minimization, Neural network training Program: Nr His research interests include modeling and simulation of circuits and. Parallel and Distributed Optimization AlgorithmsĬomputational Trade-Offs (Time vs Data vs Accuracy), Lower Bounds Jean-Baptiste Cordonnier Lie He Scott Pesme Thijs Vogels Gradient Methods, Proximal algorithms, Subgradient Methods, Stochastic and Online Variants of mentioned methods, Coordinate Descent, Frank-Wolfe, Accelerated Methods, Primal-Dual context and certificates, Lagrange and Fenchel Duality, Second-Order Methods including Quasi-Newton Methods, Derivative-Free Optimization.Martin Jaggi Nicolas Flammarion Assistants:.In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation. 5: Felix Grimberg, master student in our lab, won the best paper. This course teaches an overview of modern mathematical optimization methods, for applications in machine learning and data science. Both young spin-offs (like Typesafe and Pix4D) and companies that have long grown past the startup stage (like Logitech) actively transfer the results of EPFL's scientific innovation to industry.EPFL Course - Optimization for Machine Learning - CS-439 EPFL also houses the Musée Bolo museum and hosts several music festivals, including Balelec, that draws over 15,000 guests every year.ĮPFL is a major force in entrepreneurship, with 2012 bringing in $100M in funding for ten EPFL startups. The university operates, for education and research purposes, a Tokamak nuclear fusion reactor. EPFL was part of the Alinghi project, developing advanced racing boats that won the America's Cup multiple times. The university is building Solar Impulse, a long-range solar-powered plane that aims to be the first piloted fixed-wing aircraft to circumnavigate the Earth using only solar power. Optimization and Simulation: Section(s): Doctoral program in Civil and. It directs the Human Brain Project, an undertaking to simulate the entire human brain using supercomputers, in order to gain new insights into how it operates and to better diagnose brain disorders. Introduction to optimization and operations research: Section(s): Mechanical. The past decade has seen EPFL ascend to the very top of European institutions of science and technology: it is ranked #1 in Europe in the field of engineering by the Times Higher Education (based on publications and citations), Leiden Rankings, and the Academic Ranking of World Universities.ĮPFL's main campus brings together 12,600 students, faculty, researchers, and staff in a high-energy, dynamic learning and research environment.
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EPFL is the Swiss Federal Institute of Technology in Lausanne. Accessed 26 July 2016 Nedkov S (2012) Knowledge-based optimization of 3D city models for car navigation devices.