DocumentCode :
3162719
Title :
Selecting a monomial basis for sums of squares programming over a quotient ring
Author :
Permenter, Frank ; Parrilo, Pablo A.
Author_Institution :
Comput. Sci. & Artificial Intell. Lab. (CSAIL), Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
1871
Lastpage :
1876
Abstract :
In this paper we describe a method for choosing a “good” monomial basis for a sums of squares (SOS) program formulated over a quotient ring. It is known that the monomial basis need only include standard monomials with respect to a Groebner basis. We show that in many cases it is possible to use a reduced subset of standard monomials by combining Groebner basis techniques with the well-known Newton polytope reduction. This reduced subset of standard monomials yields a smaller semidefinite program for obtaining a certificate of non-negativity of a polynomial on an algebraic variety.
Keywords :
Newton method; polynomials; Groebner basis techniques; Newton polytope reduction; SOS; algebraic variety; monomial basis; quotient ring; semidefinite program; standard monomials; sums of squares programming; Mathematical model; Polynomials; Standards; Tin; Vectors; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6425994
Filename :
6425994
Link To Document :
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