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Convex Optimization in Python with CVXPY

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Abstract:
CVXPY is a Python-embedded modeling language for convex optimization. This tutorial will cover the basics of CVXPY, show how to combine it with high-level Python features like parallelism and object-oriented design, and use it in applications including distributed and non convex optimization including distributed and non convex optimization.

Type of Seminar:
IfA Internal Seminar
Speaker:
Steven Diamond
Department of Computer Science, Stanford University
Date/Time:
Sep 16, 2014   15:15
Location:

ETZ E6, Gloriastrasse 35
Contact Person:

Alexander Domahidi
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Biographical Sketch:
Steven Diamond is the principal developer of CVXPY. He is a student in Stephen Boyd's group at Stanford. His research focuses on domain specific languages for convex optimization.