Titlebook: Advanced Boolean Techniques; Selected Papers from Rolf Drechsler,Sebastian Huhn Book 2023 The Editor(s) (if applicable) and The Author(s),

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Robert G. C. Arridge,Peter J. Barhamo place 36 officers, which differ in both six regiments and six ranks, on a square so that each row and column contain one officer of each rank and of each regiment? A straightforward SAT model of this problem using the one-hot encoding would require 1296 Boolean variables and more than 100,000 clau

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Stephen Leatherwood,William E. Evans particular, using . (BDDs) are widely used to ensure correctness. However, the main bottleneck in using BDDs is finding a good input variable order for the Boolean function which constructs a BDD in optimal time. This problem is further aggravated in multiplier circuits where BDDs tend to explode e

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978-3-031-28918-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Book 2023t also basic research in mathematics and theoretical computer science.  Content includes invited chapters and a selection of the best papers presented at the 15.th. annual International Workshop on Boolean Problems..

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Operant Psychology Without Behaviorismes in logic optimization. Experimental results show that the presence of external don’t cares indeed enables more optimization opportunities. The paper concludes by illustrating future directions toward better utilization of external don’t cares.

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Irwin Altman,Joachim F. Wohlwill assessment. Therefore, it is essential to assess the keys, forming the most critical security breach for the logic locking mechanism. This work proposes a novel approach on determining the most intimidating incorrect keys for improving the assessment quality of arbitrary logic locking mechanisms. I

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Robert G. C. Arridge,Peter J. Barham state of the implementations. Experimental results show that the proposed architecture for a topology of 7-9-9-9-5 of the neural network achieves a latency of 86.58 ns and power consumption of 3.731 W with an accuracy of 98.21%. When compared to the same topology of the state of the art, ours outpe

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Stephen Leatherwood,William E. Evansvoided..In this paper, we present a methodology to choose a static variable ordering heuristic for large multipliers with early estimation of the endsize, peaksize and required memory for BDDs. First, we obtain the smaller version of the target multiplier and perform analysis using popular static va

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