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JOURNALS // Computational nanotechnology // Archive

Comp. nanotechnol., 2014 Issue 2, Pages 53–59 (Mi cn30)

INFORMATION TECHNOLOGY AND AUTOMATED SYSTEMS

On a decomposition of Boolean functions represented by quadratic inequalities

A. N. Shurupov

Moscow State Institute of Radio-Engineering Electronics and Automation (MSIRTEA) (TU)

Abstract: This paper advances results on Boolean threshold function decomposition [2] to Boolean functions represented by one quadratic inequalities. Quadratic polynoms are the most compact non-linear polynoms and this property sometimes is quite important. We proved three criterions for non-trivial decomposition of quadratic Boolean threshold function. The second one can be applied without analysis of truth table and only needs some evolvement of threshold structure.
Threshold functions provide a simple but fundamental model for many questions investigated in image recognition, artificial neural networks and many other areas [3].

Keywords: boolean functions, threshold functions, decomposition, quadratic inequalities.



© Steklov Math. Inst. of RAS, 2025