Mayuresh S. Pardeshi

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CNF to DNF Conversion is considered as vast area of research by scientists for PLA's, circuit designs, FPGA's, artificial intelligence, etc. High dimension variable conversion has become a key demand in the current business standard. Various applications are in its requirement like gnome analysis, grid computing, bioinformatics, imaging system, rough sets(More)
A NP hard problem CNF to DNF conversion is a vast area of research for AI, circuit design, FPGA’s (Miltersen et al. in On converting CNF To DNF, 2003), PLA’s, etc. (Beame in A switching lemma primer, 1994; Kottler and Kaufmann in SArTagnan—a parallel portfolio SAT solver with lockless physical clause sharing, 2011). Optimization and its statistics has(More)
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