Combinatorial optimisation for constraint problems encompasses a broad class of decision and optimisation tasks in which discrete choices must satisfy intricate side conditions. Typical examples ...

Constraint programming is a declarative method for modelling and solving decision problems by specifying variables, their domains and relations that must hold. Combinatorial optimization extends this ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

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 ...

Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...