Papers
CVXGEN: A Code Generator
for Embedded Convex Optimization, J. Mattingley and S. Boyd,
Optimization and Engineering, 13(1):1–27, 2012
Code Generation for
Receding Horizon Control, J. Mattingley, Y. Wang and S. Boyd,
Proceedings IEEE Multi-Conference on Systems and Control, pages 985–992,
Yokohama, Japan, September 2010
Real-Time Convex
Optimization in Signal Processing, J. Mattingley and S. Boyd,
IEEE Signal Processing Magazine, 27(3):50–61, May 2010
Automatic Code Generation
for Real-Time Convex Optimization, J. Mattingley and S. Boyd,
chapter in Convex Optimization in Signal Processing and Communications, Y.
Eldar and D. Palomar, Eds., Cambridge University Press, 2009
Talks
Teaching
Instructor for:
Teaching assistant at Stanford University for:
Introduction to Linear Dynamical Systems
(EE263), Autumn 2006, 2007 and 2008
Linear Dynamical Systems (EE363),
Winter 2009
Convex Optimization I (EE364a),
Winter 2008
Convex Optimization II (EE364b),
Winter 2007 and Spring 2008
Awards & Honors
Assorted other pages
Software
CVXGEN, an online tool for creating extremely fast
solvers
CVXMOD, a Python tool for convex optimization
jemdoc, a light, \(\mbox{\LaTeX}\) equation
supporting, text-based markup language for creating website
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