Chermakani, Deepak Ponvel

We convert, within polynomial-time and sequential processing, NP-Complete Problemsinto a problem of deciding feasibility of a given system S of linear equations with constants and coefficients of binary-variables that are 0, 1, or -1. S is feasible, if and only if, the NP-Completeproblem has a feasible solution. We show separate polynomial-time conversions to S, from the SUBSET-SUM and 3-SAT problems, both of which are NP-Complete. The number of equations and variables in S is bounded by a polynomial function of the size of the NP-Completeproblem, showing that deciding the feasibility of S is strongly-NP-Complete. Wealsoshow how to apply the approach used for the SUBSET-SUM problemtodecidethe feasibility of Integer Linear Programs, as it involves reducing the coefficient-magnitudes of variables to the logarithm of their initial values, though the number of variables and equations are increased. 


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