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Practical Optimization: Algorithms and Engineering Applications

AUTHOR Lu, Wu-Sheng; Antoniou, Andreas
PUBLISHER Springer (11/05/2010)
PRODUCT TYPE Paperback (Paperback)

Description

Here is a hands-on treatment of the subject of optimization, recommended for use by industry professionals, scientists, and students interested in optimization algorithms and their various applications. It is a timely work, as advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester's worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

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Product Format
Product Details
ISBN-13: 9781441943835
ISBN-10: 1441943838
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 670
Carton Quantity: 12
Product Dimensions: 6.14 x 1.39 x 9.21 inches
Weight: 2.10 pound(s)
Country of Origin: NL
Subject Information
BISAC Categories
Technology & Engineering | Engineering (General)
Technology & Engineering | Computer Science
Technology & Engineering | Linear & Nonlinear Programming
Dewey Decimal: 004.2
Descriptions, Reviews, Etc.
publisher marketing

Here is a hands-on treatment of the subject of optimization, recommended for use by industry professionals, scientists, and students interested in optimization algorithms and their various applications. It is a timely work, as advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester's worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

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Paperback