Cover Image

Introduction to Applied Optimization /

Show other versions (3)

This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including...

Full description

Bibliographic Details
Main Author: Diwekar, Urmila M.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Springer US, 2003.
Series:Applied optimization ; 80.
Subjects:
Mathematics.
Chemical engineering.
System theory.
Mathematical optimization.
Engineering.
Economics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8; Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.
Item Description:Electronic resource.
Physical Description:1 online resource (xv, 335 pages)
ISBN:9781475737455 (electronic bk.)
1475737459 (electronic bk.)
ISSN:1384-6485 ;