Sentence examples for maximum satisfiability problem from inspiring English sources

Both dominant strategy and Nash implementation are considered for a multiagent version of the maximum satisfiability problem.

Many real world problems, such as circuit designing and planning, can be encoded into the maximum satisfiability problem (MAX-SAT).

We investigate the Semidefinite Programming based sums of squares (SOS) decomposition method, designed for global optimization of polynomials, in the context of the (Maximum) Satisfiability problem.

We also reduce the haplotype assembly problem into the maximum satisfiability problem that can often be solved optimally even when k is large.

Since this time complexity is exponential in k, we reduce the problem to the maximum satisfiability (MaxSAT) problem for cases where k is large.

We then present experimental results for ε-transformation and iterative ε-transformation on the asymmetric traveling salesman problem (ATSP) and the maximum boolean satisfiability problem, and identify the conditions under which these two methods are effective.

We compare the SOS approach with existing upper bound and rounding techniques for the MAX-2-SAT case of Goemans and Williamson [Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming, J. Assoc. Comput. Mach.

Boolean satisfiability (SAT) and maximum satisfiability (Max-SAT) are difficult combinatorial problems that have many important real-world applications.

Maximum Satisfiability (MaxSAT) is the optimization version of the Satisfiability (SAT) problem.

The satisfiability problem refers to the task of finding a satisfying assignment that makes a Boolean expression evaluate to True.

For (mathsf {FDs}), the satisfiability problem is in O(1) time (since all (mathsf {FDs}) are satisfiable) and the implication problem is in linear time (cf. [71]).