<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>F.-Javier Heredia</AUTHOR>
	</AUTHORS>
	<YEAR>2008</YEAR>
	<TITLE>Second Order Conic Programming</TITLE>
	<SECONDARY_TITLE>Summer School of the Master on Statistics and Operations Research</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Barcelona, Spain</PLACE_PUBLISHED>
	<PUBLISHER>Dept. of Statistics and Operations Research, Technical University of Catalonia</PUBLISHER>
	<TERTIARY_TITLE>Summer School</TERTIARY_TITLE>
	<DATE>14-15/04/2008</DATE>
	<ABSTRACT>Conic quadratic optimization is an exciting extension of linear optimization. The excitement comes from that many important applications can be modeled as a conic quadratic optimization problem. Moreover, conic quadratic optimization problems can be effciently solved
using an appropriate interior-point method. In this course we will review the topic conic quadratic optimization. The review will include basic theory, important applications, algorithms, and available software.

Course topics:
1. Basic properties of Second Order Conic Programming (SOCP). Duality
2. Modelling. Important applications.
3. Algorithms for SOCP.
4. Software for SOCP.</ABSTRACT>
</RECORD>
</RECORDS></XML>