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

Fundamentals of optimization = metho...

French, Mark.

Linked to FindBook

Google Book

Amazon

博客來

Fundamentals of optimization = methods, minimum principles, and applications for making things better /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fundamentals of optimization/ by Mark French.
Reminder of title:	methods, minimum principles, and applications for making things better /
Author:	French, Mark.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xiv, 249 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Optimization: The Big Ideas -- Getting Started in Optimization: Problems with a Single Variable -- Minimum Principles - Optimization in the Fabric of the Universe -- Problems with More Than One Variable -- Constraints - Placing Limits on the Solution -- General Conditions for Solving Optimization Problem - Karush Kuhn Tucker Conditions -- Discrete Variables -- Aerospace Applications -- Structural Optimization -- Multi-objective Optimization -- Appendix A - Calculus Refresher -- Appendix B - Test Functions -- Appendix C - Solving Optimization Problems using MATLAB.
Contained By:	Springer eBooks
Subject:	Mathematical optimization. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-76192-3
ISBN:	9783319761923

Fundamentals of optimization = methods, minimum principles, and applications for making things better /
French, Mark.

Fundamentals of optimizationmethods, minimum principles, and applications for making things better /[electronic resource] :by Mark French. - Cham :Springer International Publishing :2018. - xiv, 249 p. :ill. (some col.), digital ;24 cm.

Optimization: The Big Ideas -- Getting Started in Optimization: Problems with a Single Variable -- Minimum Principles - Optimization in the Fabric of the Universe -- Problems with More Than One Variable -- Constraints - Placing Limits on the Solution -- General Conditions for Solving Optimization Problem - Karush Kuhn Tucker Conditions -- Discrete Variables -- Aerospace Applications -- Structural Optimization -- Multi-objective Optimization -- Appendix A - Calculus Refresher -- Appendix B - Test Functions -- Appendix C - Solving Optimization Problems using MATLAB.

This textbook is for readers new or returning to the practice of optimization whose interest in the subject may relate to a wide range of products and processes. Rooted in the idea of "minimum principles," the book introduces the reader to the analytical tools needed to apply optimization practices to an array of single- and multi-variable problems. While comprehensive and rigorous, the treatment requires no more than a basic understanding of technical math and how to display mathematical results visually. It presents a group of simple, robust methods and illustrates their use in clearly-defined examples. Distinct from the majority of optimization books on the market intended for a mathematically sophisticated audience who might want to develop their own new methods of optimization or do research in the field, this volume fills the void in instructional material for those who need to understand the basic ideas. The text emerged from a set of applications-driven lecture notes used in optimization courses the author has taught for over 25 years. The book is class-tested and refined based on student feedback, devoid of unnecessary abstraction, and ideal for students and practitioners from across the spectrum of engineering disciplines. It provides context through practical examples and sections describing commercial application of optimization ideas, such as how containerized freight and changing sea routes have been used to continually reduce the cost of moving freight across oceans. It also features 2D and 3D plots and an appendix illustrating the most widely used MATLAB optimization functions. Facilitates a solid grasp of the core concepts in optimization for students with no more than a background in basic technical math (derivatives); Maximizes reader understanding by focusing on a select group of simple, robust methods; Reinforces concepts with many numerical examples done in MathCAD clearly showing the intermediate calculations along with final results; Provides context through practical examples, including discussions of how optimization is used in commercial applications; Illustrates results graphically.

ISBN: 9783319761923

Standard No.: 10.1007/978-3-319-76192-3doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5 / .F746 2018

Dewey Class. No.: 519.6

Fundamentals of optimization = methods, minimum principles, and applications for making things better /
LDR:03741nmm a2200325 a 4500 001 2142178
003 DE-He213
005 20181112133245.0
006 m d
007 cr nn 008maaau
008 181214s2018 gw s 0 eng d
020 $a 9783319761923 $q (electronic bk.)
020 $a 9783319761916 $q (paper)
024 7 $a 10.1007/978-3-319-76192-3 $2 doi
035 $a 978-3-319-76192-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .F746 2018
072 7 $a TGXW $2 bicssc
072 7 $a TEC040000 $2 bisacsh
072 7 $a TEC020000 $2 bisacsh
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .F873 2018
100 1 $a French, Mark. $3 3321576
245 1 0 $a Fundamentals of optimization $h [electronic resource] : $b methods, minimum principles, and applications for making things better / $c by Mark French.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xiv, 249 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Optimization: The Big Ideas -- Getting Started in Optimization: Problems with a Single Variable -- Minimum Principles - Optimization in the Fabric of the Universe -- Problems with More Than One Variable -- Constraints - Placing Limits on the Solution -- General Conditions for Solving Optimization Problem - Karush Kuhn Tucker Conditions -- Discrete Variables -- Aerospace Applications -- Structural Optimization -- Multi-objective Optimization -- Appendix A - Calculus Refresher -- Appendix B - Test Functions -- Appendix C - Solving Optimization Problems using MATLAB.
520 $a This textbook is for readers new or returning to the practice of optimization whose interest in the subject may relate to a wide range of products and processes. Rooted in the idea of "minimum principles," the book introduces the reader to the analytical tools needed to apply optimization practices to an array of single- and multi-variable problems. While comprehensive and rigorous, the treatment requires no more than a basic understanding of technical math and how to display mathematical results visually. It presents a group of simple, robust methods and illustrates their use in clearly-defined examples. Distinct from the majority of optimization books on the market intended for a mathematically sophisticated audience who might want to develop their own new methods of optimization or do research in the field, this volume fills the void in instructional material for those who need to understand the basic ideas. The text emerged from a set of applications-driven lecture notes used in optimization courses the author has taught for over 25 years. The book is class-tested and refined based on student feedback, devoid of unnecessary abstraction, and ideal for students and practitioners from across the spectrum of engineering disciplines. It provides context through practical examples and sections describing commercial application of optimization ideas, such as how containerized freight and changing sea routes have been used to continually reduce the cost of moving freight across oceans. It also features 2D and 3D plots and an appendix illustrating the most widely used MATLAB optimization functions. Facilitates a solid grasp of the core concepts in optimization for students with no more than a background in basic technical math (derivatives); Maximizes reader understanding by focusing on a select group of simple, robust methods; Reinforces concepts with many numerical examples done in MathCAD clearly showing the intermediate calculations along with final results; Provides context through practical examples, including discussions of how optimization is used in commercial applications; Illustrates results graphically.
650 0 $a Mathematical optimization. $3 517763
650 0 $a Engineering. $3 586835
650 0 $a Aerospace engineering. $3 1002622
650 0 $a Astronautics. $3 524166
650 0 $a Engineering economy. $3 668269
650 0 $a Quality control. $3 576298
650 0 $a Reliability. $3 536252
650 0 $a Industrial safety. $3 624802
650 0 $a Industrial engineering. $3 526216
650 0 $a Transportation engineering. $3 743326
650 0 $a Traffic engineering. $3 649840
650 2 4 $a Operating Procedures, Materials Treatment. $3 898832
650 2 4 $a Aerospace Technology and Astronautics. $3 928116
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 891023
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
650 2 4 $a Mathematical and Computational Engineering. $3 3226306
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-76192-3
950 $a Engineering (Springer-11647)