Numerical Optimization, 2/e (Hardcover)
Jorge Nocedal, Stephen Wright
- 出版商: Springer
- 出版日期: 2006-07-27
- 售價: $3,440
- 貴賓價: 9.5 折 $3,268
- 語言: 英文
- 頁數: 664
- 裝訂: Hardcover
- ISBN: 0387303030
- ISBN-13: 9780387303031
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
Multiple View Geometry in Computer Vision, 2/e (美國原版)$4,210$4,126 -
Verilog 硬體描述語言 (Verilog HDL: A Guide to Digital Design and Synthesis, 2/e)$480$432 -
深入淺出 Java 程式設計, 2/e (Head First Java, 2/e)$880$581 -
全球最強 VMware vSphere 4 企業環境建構$860$774 -
鳥哥的 Linux 私房菜－基礎學習篇, 3/e$820$648 -
王者歸來 Java Web 整合開發─ JSP + Servlet + Struts + Hibernate + Spring$980$833 -
C 語言初學指引, 4/e$520$406 -
ASP.NET 4.0 專題實務 II－範例應用與 4.0 新功能, 2/e$750$638 -
Embedded Linux 嵌入式系統開發實務, 2/e (Embedded Linux Primer: A Practical Real-World Approach, 2/e)$780$663 -
Make 國際中文版 vol.02$380$342 -
Android 4.X 手機/平板電腦程式設計入門、應用到精通, 2/e (適用 Android 1.X~4.X)$520$411 -
Hadoop 實戰技術手冊$680$578 -
JavaScript 設計模式 (JavaScript Patterns)$480$379 -
雲端工作術：Google 教我的 100 個工作方法$320$288 -
輕鬆搞定 ! Google 雲端技術─ Maps、Android、App Engine CloudSQL 與電子商務 API 實務$560$532 -
JavaScript 大全, 6/e (JavaScript: The Definitive Guide: Activate Your Web Pages, 6/e)$1,200$840 -
JavaScript & jQuery: The Missing Manual 國際中文版, 2/e
$580$458 -
![ASP.NET 4.5 專題實務 [I]－C# 入門實戰篇-cover](https://cf-assets1.tenlong.com.tw/images/71291/medium/9789572240601_bc.jpg)
ASP.NET 4.5 專題實務 [I]－C# 入門實戰篇$780$663 -
ASP.NET MVC 4 開發實戰$680$578 -
Android 錦囊妙計 (Android Cookbook)$980$774 -
HTML5 完美風暴, 2/e$1,000$700 -
Hadoop 技術手冊, 3/e (Hadoop: The Definitive Guide, 3/e)$880$695 -
ASP.NET MVC 4 網站開發美學$680$537 -
ASP.NET 4.5 與 jQuery Mobile 跨行動裝置網站開發－使用 VB$600$474 -
Optimization Methods, Theory and Applications$3,500$3,325
商品描述
Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.
