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Advances in Combinatorial Optimization
Hardcover
General ComputersGeneral Mathematics
ISBN13: 9789814704878
Publisher: World Scientific Publishing Company
Published: Jan 23 2016
Pages: 220
Weight: 1.05
Height: 0.80 Width: 5.80 Depth: 9.10
Language: English
Combinational optimization (CO) is a topic in applied mathematics, decision science and computer science that consists of finding the best solution from a non-exhaustive search. CO is related to disciplines such as computational complexity theory and algorithm theory, and has important applications in fields such as operations research/management science, artificial intelligence, machine learning, and software engineering.
Advances in Combinatorial Optimization presents a generalized framework for formulating hard combinatorial optimization problems (COPs) as polynomial sized linear programs. Though developed based on the 'traveling salesman problem' (TSP), the framework allows for the formulating of many of the well-known NP-Complete COPs directly (without the need to reduce them to other COPs) as linear programs, and demonstrates the same for three other problems (e.g. the 'vertex coloring problem' (VCP)). This work also represents a proof of the equality of the complexity classes P (polynomial time) and NP (nondeterministic polynomial time), and makes a contribution to the theory and application of 'extended formulations' (EFs).
On a whole, Advances in Combinatorial Optimization offers new modeling and solution perspectives which will be useful to professionals, graduate students and researchers who are either involved in routing, scheduling and sequencing decision-making in particular, or in dealing with the theory of computing in general.
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