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 ...
Recently, Bai proposed a block-counter-diagonal and a block-counter-triangular preconditioning matrices to precondition the GMRES method for solving the structured system of linear equations arising ...
LONDON--(BUSINESS WIRE)--SpendEdge, a leading provider of supply chain optimization solutions, has announced the completion of the latest presentation on the top supply chain optimization problems ...
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Cracking the code of complexity in computer science's P vs. NP problem
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...
This paper deals with the packing problem of circles and non-convex polygons, which can be both translated and rotated into a strip with prohibited regions. Using the Ф-function technique, a ...
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Specialized hardware solves high-order optimization problems with in-memory computing
The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in ...
A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...
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