ApproxMCv7 is a state-of-the-art approximate model counter using Arjun and CryptoMiniSat to give probabilistic approximate model counts to problems of size and complexity that were not possible before ...
Hard decision problems, in computational complexity theory known as NP-complete, are of universal importance. From a conceptual perspective, an efficient solution to one such complete problem is ...
The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...
Abstract: Boolean satisfiability (SAT), a non-deterministic polynomial (NP)-complete problem, has gained increasing attention with applications in artificial intelligence, machine learning, electronic ...
go-sat is a pure Go library for solving Boolean satisfiability problems (SAT). Solving SAT problems is at the core of a number of more difficult higher level problems. From hardware/software ...
Nature is able to self-assemble complex supramolecular structures from elementary building blocks rarely making mistakes. For example, adenovirus nucleocapsids are formed from different proteins that ...
Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results