Get Free Shipping on orders over $79
Solving Computationally Expensive Engineering Problems : Methods and Applications - Xin-She Yang

Solving Computationally Expensive Engineering Problems

Methods and Applications

By: Xin-She Yang (Editor), Slawomir Koziel (Editor), Leifur Leifsson (Editor)

eText | 1 October 2014

At a Glance

eText


$159.01

or 4 interest-free payments of $39.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.

on
Desktop
Tablet
Mobile

More in Applied Mathematics

An Introduction to Stochastic Modeling - Gabriel Lord

eBOOK

RRP $145.41

$130.99

10%
OFF
Markov Chains : Theory and Applications - C.R. Rao

eBOOK

RRP $359.04

$323.99

10%
OFF
Pi the Laws of Duality - G. Neal

eBOOK

Grape Explications - Neal D. Hulkower

eBOOK

RRP $18.69

$17.99

Mathematics for Engineers - Ritu Shrivastava

eBOOK

Discrete Mathematics - Julian Ting

eBOOK