Description: Global Optimization in Engineering Design Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Ignacio E. Grossmann Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441947543, 978-1441947543 Synopsis Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational problems give rise to nonlinear and mixed-integer nonlinear optimization problems whose modeling and solu tion is often nontrivial. Furthermore, with the increased computational power and development of advanced analysis (e. g. , process simulators, finite element packages) and modeling systems (e. g. , GAMS, AMPL, SPEEDUP, ASCEND, gPROMS), the size and complexity of engineering optimization models is rapidly increasing. While the application of efficient local solvers (nonlinear program ming algorithms) has become widespread, a major limitation is that there is often no guarantee that the solutions that are generated correspond to global optima. In some cases finding a local solution might be adequate, but in others it might mean incurring a significant cost penalty, or even worse, getting an incorrect solution to a physical problem. Thus, the need for finding global optima in engineering is a very real one. It is the purpose of this monograph to present recent developments of tech niques and applications of deterministic approaches to global optimization in engineering. The present monograph is heavily represented by chemical engi neers; and to a large extent this is no accident. The reason is that mathematical programming is an active and vibrant area of research in chemical engineering. This trend has existed for about 15 years.
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Book Title: Global Optimization in Engineering Design
Number of Pages: 388 Pages
Language: English
Publication Name: Global Optimization in Engineering Design
Publisher: Springer-Verlag New York Inc.
Publication Year: 2010
Subject: Computer Science, Mathematics, Management
Item Height: 235 mm
Item Weight: 611 g
Type: Textbook
Author: Ignacio E. Grossmann
Subject Area: Data Analysis, Mechanical Engineering, Chemical Engineering
Series: Nonconvex Optimization and Its Applications
Item Width: 155 mm
Format: Paperback
