
Introduction to Applied Optimization
Urmila M. Diwekar(Author)
Springer (Publisher)
3rd Edition
Published on 30. October 2021
Book
Paperback/Softback
XXIX, 358 pages
978-3-030-55406-4 (ISBN)
Description
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.
More details
Product info
Book
Series
Edition
3rd ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
92 s/w Abbildungen, 20 farbige Abbildungen
XXIX, 358 p. 112 illus., 20 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
587 gr
ISBN-13
978-3-030-55406-4 (9783030554064)
DOI
10.1007/978-3-030-55404-0
Schweitzer Classification
Other editions
Additional editions

Urmila M. Diwekar
Introduction to Applied Optimization
Book
10/2020
3rd Edition
Springer
€74.89
Shipment within 7-9 days
Person
Urmila Diwekar is the president of the Vishwamitra Research, a non-profit research institute that she founded to pursue multidisciplinary research in the areas of Optimization under Uncertainty and Computer-aided Design applied to Energy, Environment, and Sustainability. From 2002-2004, she was a Professor in the Departments of Chemical Engineering, Bio-Engineering, and Industrial Engineering, and in the Institute for Environmental Science and Policy, at the University of Illinois at Chicago (UIC). She has a special formal arrangement with UIC where remains as the main advisor for her Ph.D. and M.S. students and teaches a course on optimization. From 1991-2002 she was on the faculty of the Carnegie Mellon University, with early promotions to both the Associate and the Full Professor level.
Content
1. Introduction.- 2. Linear Programming.- 3. Nonlinear Programming.-4. Discrete Optimization.- 5. Optimization Under Uncertainty.- 6. Multiobjective Optimization.- 7.Optimal Control and Dynamic Optimization.- Index.