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Theory And Applications Of Satisfiability Testing Sat 2020 23rd International Conference Alghero Italy July 310 2020 Proceedings Lecture Notes In Computer Science 12178 1st Ed 2020 Luca Pulina Editor

  • SKU: BELL-11371754
Theory And Applications Of Satisfiability Testing Sat 2020 23rd International Conference Alghero Italy July 310 2020 Proceedings Lecture Notes In Computer Science 12178 1st Ed 2020 Luca Pulina Editor
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Theory And Applications Of Satisfiability Testing Sat 2020 23rd International Conference Alghero Italy July 310 2020 Proceedings Lecture Notes In Computer Science 12178 1st Ed 2020 Luca Pulina Editor instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 26.53 MB
Pages: 549
Author: Luca Pulina (editor), Martina Seidl (editor)
ISBN: 9783030518240, 3030518248
Language: English
Year: 2020
Edition: 1st ed. 2020

Product desciption

Theory And Applications Of Satisfiability Testing Sat 2020 23rd International Conference Alghero Italy July 310 2020 Proceedings Lecture Notes In Computer Science 12178 1st Ed 2020 Luca Pulina Editor by Luca Pulina (editor), Martina Seidl (editor) 9783030518240, 3030518248 instant download after payment.

This book constitutes the proceedings of the 23rd International Conference on Theory and Applications of Satisfiability Testing, SAT 2020, which was planned to take place in Alghero, Italy, during July 5-9, 2020. Due to the coronavirus COVID-19 pandemic, the conference was held virtually. 

The 25 full, 9 short, and 2 tool papers presented in this volume were carefully reviewed and selected from 69 submissions. They deal with SAT interpreted in a broad sense, including theoretical advances (such as exact algorithms, proof complexity, and other complexity issues), practical search algorithms, knowledge compilation, implementation-level details of SAT solvers and SAT-based systems, problem encodings and reformulations, applications (including both novel application domains and improvements to existing approaches), as well as case studies and reports on findings based on rigorous experimentation.

 

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