DocumentCode :
3328293
Title :
Computing integral points in convex semi-algebraic sets
Author :
Khachiyan, Leonid ; Porkolab, Lorant
Author_Institution :
Dept. of Comput. Sci., Rutgers Univ., New Brunswick, NJ, USA
fYear :
1997
fDate :
20-22 Oct 1997
Firstpage :
162
Lastpage :
171
Abstract :
Let Y be a convex set in Rk defined by polynomial inequalities and equations of degree at most d⩾2 with integer coefficients of binary length l. We show that if Y∩Zk≠θ, then Y contains an integral point of binary length ldO((k4)). For fixed k, our bound implies a polynomial-time algorithm for computing an integral point y∈Y. In particular, we extend Lenstra´s theorem on the polynomial-time solvability of linear integer programming in fixed dimension to semidefinite integer programming
Keywords :
computability; computational complexity; integer programming; convex semi-algebraic sets; linear integer programming; polynomial inequalities; polynomial-time algorithm; polynomial-time solvability; semidefinite integer programming; Boolean functions; Computer science; Encoding; Integer linear programming; Integral equations; Lenses; Linear programming; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1997. Proceedings., 38th Annual Symposium on
Conference_Location :
Miami Beach, FL
ISSN :
0272-5428
Print_ISBN :
0-8186-8197-7
Type :
conf
DOI :
10.1109/SFCS.1997.646105
Filename :
646105
Link To Document :
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