Robust Design Applications Decomposition And Design Optimization Optimization Tools And Applications PDF Download
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Author | : Brian J. Gilmore |
Publisher | : |
Total Pages | : 580 |
Release | : 1994 |
Genre | : |
ISBN | : |
Download Robust Design Applications, Decomposition and Design Optimization, Optimization Tools and Applications Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 592 |
Release | : 1994 |
Genre | : Computer-aided design |
ISBN | : |
Download Advances in Design Automation, 1994: Robust design applications. Decomposition and design optimization. Optimization tools and applications Book in PDF, ePub and Kindle
Author | : Jan Blachut |
Publisher | : Springer |
Total Pages | : 337 |
Release | : 2014-05-04 |
Genre | : Science |
ISBN | : 3709127564 |
Download Emerging Methods for Multidisciplinary Optimization Book in PDF, ePub and Kindle
This volume provides an up-to-date overview of major advances, emerging trends, and projected industrial applications in the field of multidisciplinary optimization. It concentrates on the current status of the field, exposes commonalities, innovative, promising, and speculative methods. This book provides a view of today’s multidisciplinary optimization environment through a balenced theoretical and practical treatment. The contributors are the foremost authorities in each area of specialisation.
Author | : Andrew J. Kurdila |
Publisher | : Springer Science & Business Media |
Total Pages | : 279 |
Release | : 2006-06-04 |
Genre | : Mathematics |
ISBN | : 0387286543 |
Download Robust Optimization-Directed Design Book in PDF, ePub and Kindle
Robust design—that is, managing design uncertainties such as model uncertainty or parametric uncertainty—is the often unpleasant issue crucial in much multidisciplinary optimal design work. Recently, there has been enormous practical interest in strategies for applying optimization tools to the development of robust solutions and designs in several areas, including aerodynamics, the integration of sensing (e.g., laser radars, vision-based systems, and millimeter-wave radars) and control, cooperative control with poorly modeled uncertainty, cascading failures in military and civilian applications, multi-mode seekers/sensor fusion, and data association problems and tracking systems. The contributions to this book explore these different strategies. The expression "optimization-directed” in this book’s title is meant to suggest that the focus is not agonizing over whether optimization strategies identify a true global optimum, but rather whether these strategies make significant design improvements.
Author | : Panos Kouvelis |
Publisher | : Springer Science & Business Media |
Total Pages | : 386 |
Release | : 1996-11-30 |
Genre | : Mathematics |
ISBN | : 9780792342915 |
Download Robust Discrete Optimization and Its Applications Book in PDF, ePub and Kindle
This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap proach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. The main motivating factors for a decision maker to use the robustness approach are: • It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; • It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; • It accounts for the risk averse nature of decision makers; and • It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera tional decision makers. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making.
Author | : Zhan Kang |
Publisher | : |
Total Pages | : 0 |
Release | : 2005 |
Genre | : |
ISBN | : |
Download Robust Design Optimization of Structures Under Uncertainties Book in PDF, ePub and Kindle
Author | : Aharon Ben-Tal |
Publisher | : Princeton University Press |
Total Pages | : 565 |
Release | : 2009-08-10 |
Genre | : Mathematics |
ISBN | : 1400831059 |
Download Robust Optimization Book in PDF, ePub and Kindle
Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.
Author | : Piotr Breitkopf |
Publisher | : John Wiley & Sons |
Total Pages | : 403 |
Release | : 2013-02-04 |
Genre | : Technology & Engineering |
ISBN | : 1118600002 |
Download Multidisciplinary Design Optimization in Computational Mechanics Book in PDF, ePub and Kindle
This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.
Author | : Natalia M. Alexandrov |
Publisher | : SIAM |
Total Pages | : 476 |
Release | : 1997-01-01 |
Genre | : Design |
ISBN | : 9780898713596 |
Download Multidisciplinary Design Optimization Book in PDF, ePub and Kindle
Multidisciplinary design optimization (MDO) has recently emerged as a field of research and practice that brings together many previously disjointed disciplines and tools of engineering and mathematics. MDO can be described as a technology, environment, or methodology for the design of complex, coupled engineering systems, such as aircraft, automobiles, and other mechanisms, the behavior of which is determined by interacting subsystems.
Author | : Oliver König |
Publisher | : |
Total Pages | : 207 |
Release | : 2004 |
Genre | : |
ISBN | : |
Download Evolutionary Design Optimization Book in PDF, ePub and Kindle