Check nearby libraries
Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
Computational complexity is a serious bottleneck for the design process in virtually any engineering area. While migration from prototyping and experimental-based design validation to verification using computer simulation models is inevitable and has a number of advantages, high computational costs of accurate, high-fidelity simulations can be a major issue that slows down the development of computer-aided design methodologies, particularly those exploiting automated design improvement procedures, e.g., numerical optimization. The continuous increase of available computational resources does not always translate into shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. Accurate simulation of a single design of a given system may be as long as several hours, days or even weeks, which often makes design automation using conventional methods impractical or even prohibitive.
Additional problems include numerical noise often present in the simulation data, possible presence of multiple locally optimum designs, as well as multiple conflicting objectives. In this edited book, various techniques that can alleviate solving computationally expensive engineering design problems are presented. One of the most promising approaches is the use of fast replacement models, so-called surrogates, that reliably represent the expensive, simulation-based model of the system/device of interest but they are much cheaper and analytically tractable. Here, a group of international experts summarize recent developments in the area and demonstrate applications in various disciplines of engineering and science. The main purpose of the work is to provide the basic concepts and formulations of the surrogate-based modeling and optimization paradigm, as well as discuss relevant modeling techniques, optimization algorithms and design procedures.
Therefore, this book should be useful to researchers and engineers from any discipline where computationally heavy simulations are used on daily basis in the design process.
Check nearby libraries
Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
Edition | Availability |
---|---|
1
Solving Computationally Expensive Engineering Problems: Methods and Applications
Aug 31, 2016, Springer
paperback
3319349783 9783319349787
|
zzzz
Libraries near you:
WorldCat
|
2
Solving Computationally Expensive Engineering Problems: Methods and Applications
2014, Springer London, Limited
in English
3319089854 9783319089850
|
zzzz
Libraries near you:
WorldCat
|
3
Solving Computationally Expensive Engineering Problems: Methods and Applications
Oct 02, 2014, Springer
hardcover
3319089846 9783319089843
|
aaaa
Libraries near you:
WorldCat
|
Book Details
Edition Notes
Source title: Solving Computationally Expensive Engineering Problems: Methods and Applications (Springer Proceedings in Mathematics & Statistics)
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?History
- Created May 31, 2020
- 3 revisions
Wikipedia citation
×CloseCopy and paste this code into your Wikipedia page. Need help?
August 8, 2024 | Edited by MARC Bot | import existing book |
February 26, 2022 | Edited by ImportBot | import existing book |
May 31, 2020 | Created by ImportBot | Imported from amazon.com record |