9780387766348 - introduction to applied optimization (springer optimization and its applications, band 22) von diwekar, urmila (3 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2008
Serie: Springer Optimization and Its Applications, Buch 14 von 176. Buch 14 von 176 - Springer Optimization and Its Applications
- Hardcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer US, 2008
Serie: Springer Optimization and Its Applications, Buch 14 von 176. Buch 14 von 176 - Springer Optimization and Its Applications
- Hardcover
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Zustand: New. Implemented in a classroom setting or used for independent studySelf-contained chapters that include problem sets and exercisesProvides a thorough introduction to applied optimization with unique applicationsIntroduces a number or im.
Sprache: Englisch
Verlag: Springer, 2008
Serie: Springer Optimization and Its Applications, Buch 14 von 176. Buch 14 von 176 - Springer Optimization and Its Applications
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Hardcover. Zustand: Neu. Neu Neuware, auf Lager - Optimization has pervaded all spheres of human endeavor. Although op- mization has been practiced in some form or other from the early prehistoric era, this area has seen progressive growth during the last ve decades. M- ern society lives not only in an environment of intense com…petition but is also constrained to plan its growth in a sustainable manner with due concern for conservation of resources. Thus, it has become imperative to plan, design, operate, and manage resources and assets in an optimal manner. Early - proaches have been to optimize individual activities in a standalone manner, however,thecurrenttrendistowardsanintegratedapproach:integratings- thesis and design, design and control, production planning, scheduling, and control. The functioning of a system may be governed by multiple perf- mance objectives. Optimization of such systems will call for special strategies for handling the multiple objectives to provide solutions closer to the systems requirement. Uncertainty and variability are two issues which render op- mal decision making di cult. Optimization under uncertainty would become increasingly important if one is to get the best out of a system plagued by uncertain components. These issues have thrown up a large number of ch- lenging optimization problems which need to be resolved with a set of existing and newly evolving optimization tools. Optimization theory had evolved initially to provide generic solutions to optimizationproblemsinlinear,nonlinear,unconstrained,andconstrained- mains. Theseoptimization problems wereoften called mathematical progr- mingproblemswithtwodistinctiveclassi cations,namelylinearandnonlinear programming problems.
