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Global Optimization in Engineering Design by Ignacio E. Grossmann (English) Pape

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9781441947543
Book Title
Global Optimization in Engineering Design
ISBN
9781441947543
Publication Year
2010
Series
Nonconvex Optimization and Its Applications Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Global Optimization in Engineering Design
Author
Ignacio E. Grossmann
Item Length
9.3in
Publisher
Springer
Item Width
6.1in
Item Weight
21.6 Oz
Number of Pages
X, 388 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer
ISBN-10
144194754x
ISBN-13
9781441947543
eBay Product ID (ePID)
28038371018

Product Key Features

Author
Ignacio E. Grossmann
Publication Name
Global Optimization in Engineering Design
Format
Trade Paperback
Language
English
Publication Year
2010
Series
Nonconvex Optimization and Its Applications Ser.
Type
Textbook
Number of Pages
X, 388 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
21.6 Oz

Additional Product Features

Series Volume Number
9
Number of Volumes
1 Vol.
Lc Classification Number
Qa76.758
Table of Content
1. Branch and Bound for Global NLP: New Bounding LP.- 2. Branch and Bound for Global NLP: Iterative LP Algorithm & Results.- 3. New Formulations and Branching Strategies for the GOP Algorithm.- 4. Computational Results for an Efficient Implementation of the GOP Algorithm and Its Variants.- 5. Solving Nonconvex Process Optimisation Problems Using Interval Subdivision Algorithms.- 6. Global Optimization of Nonconvex MINLP's by Interval Analysis.- 7. Planning of Chemical Process Networks via Global Concave Minimization.- 8. Global Optimization for Stochastic Planning, Scheduling and Design Problems.- 9. Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design.- 10. Alternative Bounding Approximations for the Global Optimization of Various Engineering Design Problems.- 11. A Pipe Reliability and Cost Model for an Integrated Approach Toward Designing Water Distribution Systems.- 12. Global Optimisation of General Process Models.
Copyright Date
1996
Topic
Software Development & Engineering / General, Industrial Design / General, Linear & Nonlinear Programming, Optimization, Chemistry / Industrial & Technical
Dewey Decimal
620/.0042/015197
Intended Audience
Scholarly & Professional
Dewey Edition
20
Illustrated
Yes
Genre
Computers, Technology & Engineering, Science, Mathematics

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