Fundamentals of Optimization : Methods, Minimum Principles, and Applications for Making Things Better / Mark French.
French, Mark, author.
2018
QA402.5
Available Online

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Title Fundamentals of Optimization : Methods, Minimum Principles, and Applications for Making Things Better / Mark French.
Author French, Mark, author.
ISBN 9783319761923 (electronic book)
3319761927 (electronic book)
9783319761916
3319761919
DOI https://doi.org/10.1007/978-3-319-76192-3
Published Cham : Springer, 2018.
Language English
Description 1 online resource (xiv, 249 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-319-76192-3 doi
Call Number QA402.5
Dewey Decimal Classification 519.6
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Available in Other Form Print version: 9783319761916
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All Resources
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.-.

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