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Feasibility and infeasibility in optimization : John W. Chinneck algorithms and computational methods /

By:

Chinneck, John W

Material type: Text

TextSeries: International series in operations research & management sciencePublication details: India Springer India 2008Description: 270 pISBN:

9788132231585

Subject(s):

DDC classification:

519.6 CHI-J

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	510	General Stack (For lending)	519.6 CHI-J (Browse shelf(Opens below))	Available		29910

Total holds: 0

Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power has become widely available. Models now frequently have many complicated interacting constraints, giving rise to a host of issues related to feasibility and infeasibility. For example, it is sometimes difficult to find any feasible point at all for.

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