The subset-sum problem is one of the most frequently occurring NP (nondeterministic, polynomial-time)-complete) problems. It asks whether a subset of numbers in a set of positive integers adds up ...
An efficient branch-and-bound algorithm for computing the best-subset regression models is proposed. The algorithm avoids the computation of the whole regression tree that generates all possible ...
A new computer prototype called a "memcomputer" works by mimicking the human brain, and could one day perform notoriously complex tasks like breaking codes, scientists say. These new, brain-inspired ...
Quanmatic used subset sum problems exceeding 100 million qubits and successfully reached the ground state. Quanmatic deployed proprietary technology called "revolvers" to identify a subset of problems ...
In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms, any ...
https://doi.org/10.2307/254217 • https://www.jstor.org/stable/254217 Copy URL This paper proposes an efficient algorithm to solve optimally the bicriteria problem ...
KITCHENER, ONTARIO--(Marketwired - Dec. 3, 2013) - New software product CutGLib 1.0 introduces redesigned and heavily improved optimization algorithm for guillotine rectangular cutting. Test runs on ...
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