東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Mathematical Optimization for Engine...

Dandurand, Brian C.

Linked to FindBook

Google Book

Amazon

博客來

Mathematical Optimization for Engineering Design Problems.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical Optimization for Engineering Design Problems./
Author:	Dandurand, Brian C.
Description:	205 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
Contained By:	Dissertation Abstracts International74-12B(E).
Subject:	Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3592464
ISBN:	9781303335747

Mathematical Optimization for Engineering Design Problems.
Dandurand, Brian C.

Mathematical Optimization for Engineering Design Problems. - 205 p.

Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.

Thesis (Ph.D.)--Clemson University, 2013.

Applications in engineering design and the material sciences motivate the development of optimization theory in a manner that additionally draws from other branches of mathematics including the functional, complex, and numerical analyses.

ISBN: 9781303335747Subjects--Topical Terms:

515831
Mathematics.

Mathematical Optimization for Engineering Design Problems.
LDR:02509nam a2200337 4500 001 1961842
005 20140722092951.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303335747
035 $a (MiAaPQ)AAI3592464
035 $a AAI3592464
040 $a MiAaPQ $c MiAaPQ
100 1 $a Dandurand, Brian C. $3 2097809
245 1 0 $a Mathematical Optimization for Engineering Design Problems.
300 $a 205 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
500 $a Adviser: Margaret M. Wiecek.
502 $a Thesis (Ph.D.)--Clemson University, 2013.
520 $a Applications in engineering design and the material sciences motivate the development of optimization theory in a manner that additionally draws from other branches of mathematics including the functional, complex, and numerical analyses.
520 $a The first contribution, motivated by an automotive design application, extends multiobjective optimization theory under the assumption that the problem information is not available in its entirety to a single decision maker as traditionally assumed in the multiobjective optimization literature. Rather, the problem information and the design control are distributed among different decision makers. This requirement appears in the design of an automotive system whose subsystem components themselves correspond to highly involved design subproblems each of whose performance is measured by multiple criteria. This leads to a system/subsystem interaction requiring a coordination whose algorithmic foundation is developed and rigorously examined mathematically.
520 $a The second contribution develops and analyzes a parameter estimation approach motivated from a time domain modeling problem in the material sciences. In addition to drawing from the theory of least-squares optimization and numerical analysis, the development of a mathematical foundation for comparing a baseline parameter estimation approach with an alternative parameter estimation approach relies on theory from both the functional and complex analyses.
520 $a The application of the developed theory and algorithms associated with both contributions is also discussed.
590 $a School code: 0050.
650 4 $a Mathematics. $3 515831
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Materials Science. $3 1017759
650 4 $a Applied Mathematics. $3 1669109
690 $a 0405
690 $a 0548
690 $a 0794
690 $a 0364
710 2 $a Clemson University. $b Mathematical Science. $3 1023032
773 0 $t Dissertation Abstracts International $g 74-12B(E).
790 $a 0050
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3592464