Title :
An interior point approach to Boolean vector function synthesis
Author :
Kamath, A.P. ; Karmarkar, N.K. ; Ramakrishnan, K.G. ; Resende, M.G.C.
Author_Institution :
Stanford Univ., CA, USA
Abstract :
The Boolean vector function synthesis problem can be stated as follows: Given a truth table with n input variables and m output variables, synthesize a Boolean vector function that describes the table. In this paper we describe a new formulation of the Boolean vector function synthesis problem as a particular type of satisfiability problem. The satisfiability problem is translated into an integer programming feasibility problem, that is solved with an interior point algorithm for integer programming. Preliminary computational results are presented
Keywords :
Boolean functions; decidability; integer programming; Boolean vector function synthesis; integer programming feasibility problem; interior point algorithm; satisfiability problem; truth table; Artificial intelligence; Boolean functions; Circuit synthesis; Functional programming; Integrated circuit synthesis; Linear programming; Logic circuits; Logic design; Logic programming; Machine learning;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343098