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 ...
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 ...
Many important processes in biology, such as signaling and gene regulation, can be described using logic models. These logic models are typically built to behaviorally emulate experimentally observed ...
Abstract: Ising machines have recently emerged as efficient computers for nondeterministic polynomial-time hard (NP-hard) combinatorial optimization problems (COPs). While most prior works have built ...
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 ...
Abstract: Dynamical systems can offer a novel non-Boolean approach to computing. Specifically, the natural minimization of energy in the system is a valuable property for minimizing the objective ...
Mathematicians have long been fascinated by objects that exhibit exceptionally nice combinatorial properties. However, it is often difficult to determine whether objects satisfying a given ...
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