Title :
New Estimates for Practical Robust Negativity of Multilinear Functions
Author :
Ross, Sheila R. ; Barmish, B. Ross
Author_Institution :
Univ. of Wisconsin, Madison
Abstract :
In this paper, we address a fundamental NP-hard problem which arises in many application areas: Determine whether a multilinear function f(x) is negative for all x in a hypercube X. Consistent with the emerging literature, with the goal being to reduce the computational burden, we consider a relaxation of this robust negativity problem. Specifically, we seek to determine whether f(x) remains negative for all x in X except possibly on a set of "acceptably small" volume.
Keywords :
computational complexity; optimisation; NP-hard problem; multilinear function; robust negativity problem relaxation; Application software; Cities and towns; Computational complexity; Hypercubes; NP-hard problem; Neural networks; Polynomials; Robust control; Robustness; Testing;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282347