GM Foody, A Mathur - Remote Sensing of Environment, 2004 - Elsevier
Conventional approaches to training a supervised image classification aim to fully describe all of the classes spectrally. To achieve a complete description of each class in feature …
N Eén, N Sörensson - Journal on Satisfiability, Boolean …, 2006 - content.iospress.com
In this paper, we describe and evaluate three different techniques for translating pseudo- boolean constraints (linear constraints over boolean variables) into clauses that can be …
S Buss, J Nordström - Handbook of Satisfiability, 2021 - ebooks.iospress.nl
This chapter gives an overview of proof complexity and connections to SAT solving, focusing on proof systems such as resolution, Nullstellensatz, polynomial calculus, and cutting planes …
R Tate, M Stepp, Z Tatlock, S Lerner - … of the 36th annual ACM SIGPLAN …, 2009 - dl.acm.org
Optimizations in a traditional compiler are applied sequentially, with each optimization destructively modifying the program to produce a transformed program that is then passed to …
Abstract Maximum Satisfiability (MaxSAT) is an optimization version of SAT, and many real world applications can be naturally encoded as such. Solving MaxSAT is an important …
O Roussel, V Manquinho - Handbook of satisfiability, 2021 - ebooks.iospress.nl
Pseudo-Boolean and cardinality constraints are a natural generalization of clauses. While a clause expresses that at least one literal must be true, a cardinality constraint expresses that …
R Nieuwenhuis, A Oliveras - … and Applications of Satisfiability Testing-SAT …, 2006 - Springer
Abstract Solvers for SAT Modulo Theories (SMT) can nowadays handle large industrial (eg, formal hardware and software verification) problems over theories such as the integers …
Abstract The Pseudo-Boolean Optimization (PBO) and Maximum Satisfiability (MaxSAT) problems are natural optimization extensions of Boolean Satisfiability (SAT). In the recent …
Divide and Conquer: Towards Faster Pseudo-Boolean Solving Page 1 Divide and Conquer: Towards Faster Pseudo-Boolean Solving Jan Elffers KTH Royal Institute of Technology …