Multidisciplinary Optimization

Emerging Methods for Multidisciplinary Optimization  eBooks & eLearning

Posted by tanas.olesya at May 23, 2016
Emerging Methods for Multidisciplinary Optimization

Emerging Methods for Multidisciplinary Optimization by Jan Blachut
English | May 31, 2002 | ISBN: 3211833358 | 337 Pages | PDF | 32 MB

This volume provides an up-to-date overview of major advances, emerging trends, and projected industrial applications in the field of multidisciplinary optimization.

Multidisciplinary Design Optimization Supported by Knowledge Based Engineering  eBooks & eLearning

Posted by ksveta6 at April 14, 2016
Multidisciplinary Design Optimization Supported by Knowledge Based Engineering

Multidisciplinary Design Optimization Supported by Knowledge Based Engineering by Jaroslaw Sobieszczanski-Sobieski, Alan Morris, Michel van Tooren
2015 | ISBN: 1118492129 | English | 408 pages | PDF | 13 MB
Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems By Gang Lei, Jianguo Zhu, Youguang Guo
2016 | 256 Pages | ISBN: 3662492695 | PDF | 9 MB
Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines by Johan A.K. Suykens and Marco Signoretto
English | 2014 | ISBN: 1482241390 | 525 pages | PDF | 8 MB

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines.
Multidisciplinary Methods for Analysis, Optimization and Control of Complex Systems

Multidisciplinary Methods for Analysis, Optimization and Control of Complex Systems
by Vincenzo Capasso, Jacques Periaux
English | 2004 | ISBN: 354022310X | 296 pages | PDF | 10.5 MB

Concepts of Combinatorial Optimization (repost)  

Posted by interes at June 19, 2014
Concepts of Combinatorial Optimization (repost)

Concepts of Combinatorial Optimization (ISTE) by Vangelis Th. Paschos
English | 2010 | ISBN-10: 1848211473 | 368 pages | PDF | 4 MB

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.
Applications of Combinatorial Optimization, Volume 3 (repost)

Applications of Combinatorial Optimization, Volume 3 by Vangelis Th. Paschos
English | 2010 | ISBN-10: 184821149X | 384 pages | PDF | 4,9 MB

Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aims to cover a wide range of topics in this area.
Advances in Collaborative Civil Aeronautical Multidisciplinary Design Optimization (Repost)

Advances in Collaborative Civil Aeronautical Multidisciplinary Design Optimization By E. Kesseler, M. Guenov
2009 | 456 Pages | ISBN: 1600867251 | PDF | 22 MB
Advances in Collaborative Civil Aeronautical Multidisciplinary Design Optimization

Advances in Collaborative Civil Aeronautical Multidisciplinary Design Optimization By E. Kesseler, M. Guenov
2009 | 456 Pages | ISBN: 1600867251 | PDF | 22 MB

Robust Optimization-Directed Design { Repost }  

Posted by kalyan1232008 at April 30, 2009
Robust Optimization-Directed Design { Repost }

Robust Optimization-Directed Design
ISBN: 0387282637 | 2.4 MB PDF | Author: A. J. Kurdilla | Publisher: Springer

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.