Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems

Research article (European Journal of Operational Research, 2017) · cited 41× · AI/ML
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Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems

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Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/logical-and-inequality-implications-for-reducing-the-size-and-difficulty-of-quadratic-unconstrained-binary-optimization-
MLA “Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/logical-and-inequality-implications-for-reducing-the-size-and-difficulty-of-quadratic-unconstrained-binary-optimization-.
BibTeX @misc{4ortxyz_logical-and-inequality-implications-for-reducing-the-size-and-difficulty-of-quadratic-unconstrained-binary-optimization-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Logical and inequality implications for reducing the size and difficulty of quadratic unconstrained binary optimization problems}}, year = {2026}, url = {https://4ort.xyz/entity/logical-and-inequality-implications-for-reducing-the-size-and-difficulty-of-quadratic-unconstrained-binary-optimization-}, note = {Accessed: 2026-05-24}}
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