Optimization Methods And Applications(1st Edition)

Authors:

Xiao Qi Yang ,Kok Lay Teo ,Lou Caccetta

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$128.44

List Price: $183.48 Savings: $55.04 (30%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Optimization Methods And Applications

Price:

$9.99

/month

Book details

ISBN: 1441948503, 978-1441948502

Book publisher: Springer

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Book Price $128.44 : This Edited Book Is Dedicated To Professor N. U. Ahmed, A Leading Scholar And A Renowned Researcher In Optimal Control And Optimization On The Occasion Of His Retirement From The Department Of Electrical Engineering At University Of Ottawa In 1999. The Contributions Of This Volume Are In The Areas Of Optimal Control, Non­ Linear Optimization And Optimization Applications. They Are Mainly The Im­ Proved And Expanded Versions Of The Papers Selected From Those Presented In Two Special Sessions Of Two International Conferences. The First Special Session Is Optimization Methods, Which Was Organized By K. L. Teo And X. Q. Yang For The International Conference On Optimization And Variational Inequality, The City University Of Hong Kong, Hong Kong, 1998. The Other One Is Optimal Control, Which Was Organized ByK. ~Teo And L. Caccetta For The Dynamic Control Congress, Ottawa, 1999. This Volume Is Divided Into Three Parts: Optimal Control; Optimization Methods; And Applications. The Optimal Control Part Is Concerned With Com­ Putational Methods, Modeling And Nonlinear Systems. Three Computational Methods For Solving Optimal Control Problems Are Presented: (i) A Regularization Method For Computing Ill-conditioned Optimal Control Problems, (ii) Penalty Function Methods That Appropriately Handle Final State Equality Constraints, And (iii) A Multilevel Optimization Approach For The Numerical Solution Of Opti­ Mal Control Problems. In The Fourth Paper, The Worst-case Optimal Regulation Involving Linear Time Varying Systems Is Formulated As A Minimax Optimal Con­ Trol Problem.