Convex Optimization

Add to your list(s) Download to your calendar using vCal

• Prof. Stephen Boyd, Electrical Engineering, Stanford University
• Tuesday 23 January 2018, 14:00-15:00
• 611.

If you have a question about this talk, please contact Giordano Scarciotti.

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.

This talk is part of the Control and Power Seminars series.

This talk is included in these lists:

• 611
• Andrea Picciau's list
• Control and Power Seminars

Note that ex-directory lists are not shown.