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Zhegalkin Polynomial SAT Solver
Edité par
Editorial Académica Española Jan 2019, 2019
ISBN 10 : 6202165375
ISBN 13 : 9786202165372
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Polynomial systems are fundamental tools in the solution of hard problems in science and engineering such as robotics, automated reasoning, artificial intelligence and signal processing. Similarly, from the early days of the digital era, Boolean variables have been the foundations of the computer operations. Hence, the application of common algebraic techniques to Boolean algebra is used now as a method to solve complex Boolean equation systems that before were only intended to solve using Boolean logic techniques. The aim of this project is to demonstrate that Zhegalkin polynomials (also known as Algebraic Normal Form - ANF) are an alternative way to represent Boolean functions. In order to test the hypothesis, a Zhegalkin SAT Solver (ZPSAT) was developed. The results conducted after the testing concluded that ZPSAT can solve a conjunction of XOR equations efficiently in terms of reliability and computing time. The heuristic used to build ZPSAT was based mainly on the concepts used by the Horn Formulae and a Fast-Multiplication method of two ANF polynomials known as Mobius transform. 52 pp. Englisch. N° de réf. du vendeur 9786202165372
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Zhegalkin Polynomial SAT Solver : Zhegalkin SAT Solver (ZPSAT) is a efficient alternative to solve Boolean functions systems
Edité par
Editorial Académica Española, 2019
ISBN 10 : 6202165375
ISBN 13 : 9786202165372
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Polynomial systems are fundamental tools in the solution of hard problems in science and engineering such as robotics, automated reasoning, artificial intelligence and signal processing. Similarly, from the early days of the digital era, Boolean variables have been the foundations of the computer operations. Hence, the application of common algebraic techniques to Boolean algebra is used now as a method to solve complex Boolean equation systems that before were only intended to solve using Boolean logic techniques. The aim of this project is to demonstrate that Zhegalkin polynomials (also known as Algebraic Normal Form - ANF) are an alternative way to represent Boolean functions. In order to test the hypothesis, a Zhegalkin SAT Solver (ZPSAT) was developed. The results conducted after the testing concluded that ZPSAT can solve a conjunction of XOR equations efficiently in terms of reliability and computing time. The heuristic used to build ZPSAT was based mainly on the concepts used by the Horn Formulae and a Fast-Multiplication method of two ANF polynomials known as Mobius transform. N° de réf. du vendeur 9786202165372
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Zhegalkin Polynomial SAT Solver
Edité par
Editorial Académica Española, 2019
ISBN 10 : 6202165375
ISBN 13 : 9786202165372
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 385662392
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Zhegalkin Polynomial SAT Solver
Edité par
Editorial Académica Española Jan 2019, 2019
ISBN 10 : 6202165375
ISBN 13 : 9786202165372
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Polynomial systems are fundamental tools in the solution of hard problems in science and engineering such as robotics, automated reasoning, artificial intelligence and signal processing. Similarly, from the early days of the digital era, Boolean variables have been the foundations of the computer operations. Hence, the application of common algebraic techniques to Boolean algebra is used now as a method to solve complex Boolean equation systems that before were only intended to solve using Boolean logic techniques. The aim of this project is to demonstrate that Zhegalkin polynomials (also known as Algebraic Normal Form - ANF) are an alternative way to represent Boolean functions. In order to test the hypothesis, a Zhegalkin SAT Solver (ZPSAT) was developed. The results conducted after the testing concluded that ZPSAT can solve a conjunction of XOR equations efficiently in terms of reliability and computing time. The heuristic used to build ZPSAT was based mainly on the concepts used by the Horn Formulae and a Fast-Multiplication method of two ANF polynomials known as Mobius transform.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786202165372
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Zhegalkin Polynomial SAT Solver | Zhegalkin SAT Solver (ZPSAT) is a efficient alternative to solve Boolean functions systems
Edité par
Editorial Académica Española, 2021
ISBN 10 : 6202165375
ISBN 13 : 9786202165372
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Zhegalkin Polynomial SAT Solver | Zhegalkin SAT Solver (ZPSAT) is a efficient alternative to solve Boolean functions systems | Jorge Fernandez Davila | Taschenbuch | 52 S. | Englisch | 2021 | Editorial Académica Española | EAN 9786202165372 | Verantwortliche Person für die EU: Editorial Academica Espanola, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 115353860
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