Random backtracking in backtrack search algorithms for satisfiability

Random backtracking in backtrack search algorithms for satisfiability

This paper proposes the utilization of randomized backtracking within complete backtrack search algorithms for propositional satisfiability (SAT). In recent years, randomization has become pervasive in SAT algorithms. Incomplete algorithms for SAT, for example the ones based on local search, often resort to randomization. Complete algorithms also resort to randomization. These include state-of-...

Unrestricted Backtracking Algorithms for Satisfiability

This paper proposes a general framework for implementing backtracking search strategies in Propositional Satisfiability (SAT) algorithms, that is referred to unrestricted backtracking. Different organizations of unrestricted backtracking yield well-known backtracking search strategies. Moreover, this general framework allows devising new backtracking strategies. Hence, we illustrate and compare...

Unrestricted Backtrack Search for Propositional Satisfiability

Algorithms for Satisfiability in Combinational Circuits Based on Backtrack Search and Recursive Learning

Boolean Satisfiability is a ubiquitous modeling tool in Electronic Design Automation (EDA). It finds application in test pattern generation, delay-fault testing, combinational equivalence checking and circuit delay computation, among many other problems. Moreover, Boolean Satisfiability is also in the core of algorithms for solving Binate Covering Problems. This paper starts by describing how B...

Backtracking Search Algorithms

There are three main algorithmic techniques for solving constraint satisfaction problems: backtracking search, local search, and dynamic programming. In this chapter, I survey backtracking search algorithms. Algorithms based on dynamic programming [15]— sometimes referred to in the literature as variable elimination, synthesis, or inference algorithms—are the topic of Chapter 7. Local or stocha...