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Convex Optimisation - 22 June, 2018

It is our pleasure to host this distinguished lecture by Stephen Boyd, Stanford University. The lecture will be followed by a reception. Please feel free to forward this invitation.

Date: 22 June, 2018
Time: 14:00
Venue: Room E004/005, Ground floor, JFK Building, 29, avenue John F. Kennedy, L-1855 Luxembourg

Booking essential
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Convex optimization has emerged as useful tool for applications that include data analysis and model fitting, resource allocation, engineering design, network design and optimization, finance, and control and signal processing.

After an overview of the mathematics, algorithms, and software frameworks for convex optimization, we turn to common themes that arise across applications, such as sparsity and relaxation.

We describe recent work on real-time embedded convex optimization, in which small problems are solved repeatedly in millisecond or microsecond time frames, and large-scale distributed convex optimization, in which many solvers are coordinated to solve enormous problems.

Stephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is a member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance. Read more.

Please note that a photographer will be present at this event. The images may be published by the University, e.g. on its social media, its website and in print products. If you do not wish to be photographed, please alert the organisers and the photographer.