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商品描述
This unique and timely volume combines a formal presentation of classical methods of design optimization with detailed instruction in the application of these methods using MATLAB. It introduces readers to the symbolic, numerical, and graphic features of MATLAB and integrates this powerful combination in the translation of many algorithms into applied optimization techniques with animation.
Applied Optimization with MATLAB Programming develops all necessary mathematical concepts, illustrates abstract mathematical ideas of optimization using MATLAB’s rich graphics features, and introduces new programming skills incrementally as optimization concepts are presented. This valuable learning tool:
- Focuses on real-world optimization techniques
- Covers all areas of optimization, including linear, nonlinear, discrete, and global
- Includes creative examples from many disciplines
- Presents a number of practical, open-ended design problems
- Features an accompanying Web site with MATLAB code for all the numerical techniques and examples in the book
This one-of-a-kind resource enables senior-undergraduate and graduate students in engineering and other design disciplines to develop practical programming skills as they master the concepts of optimization. It is also an excellent self-teaching guide for design engineers in all fields of endeavor.
Table of Contents
PREFACE.
1 Introduction.
2 Graphical Optimization.
3 Linear Programming.
4 Nonlinear Programming.
5 Numerical TechniquesThe One-Dimensional Problem.
6 Numerical Techniques for Unconstrained Optimization.
7 Numerical Techniques for Constrained Optimization.
8 Discrete Optimization.
9 Global Optimization.
10 Optimization Toolbox from MATLAB.
Index.
商品描述(中文翻譯)
一種學習經典優化方法的新方法——通過 MATLAB 模擬和說明的數值技術
這本獨特且及時的著作結合了經典設計優化方法的正式介紹,並詳細說明了如何使用 MATLAB 應用這些方法。它向讀者介紹了 MATLAB 的符號、數值和圖形特性,並將這種強大的組合整合到許多算法轉換為應用優化技術的過程中,並配有動畫展示。
《使用 MATLAB 編程的應用優化》發展了所有必要的數學概念,利用 MATLAB 豐富的圖形特性說明優化的抽象數學思想,並隨著優化概念的呈現逐步引入新的編程技能。這個有價值的學習工具:
- 專注於現實世界的優化技術
- 涵蓋所有優化領域,包括線性、非線性、離散和全局優化
- 包括來自多個學科的創意範例
- 提出多個實用的開放式設計問題
- 提供一個附帶的網站,包含書中所有數值技術和範例的 MATLAB 代碼
這本獨一無二的資源使工程及其他設計學科的高年級本科生和研究生能夠在掌握優化概念的同時發展實用的編程技能。它也是各個領域設計工程師的優秀自學指南。
目錄
前言。
1 介紹。
2 圖形優化。
3 線性規劃。
4 非線性規劃。
5 數值技術:一維問題。
6 無約束優化的數值技術。
7 有約束優化的數值技術。
8 離散優化。
9 全局優化。
10 MATLAB 的優化工具箱。
索引。