Numerical optimization with applications / by Suresh Chandra, Jayadeva and Aparna Mehra

By:

Chandra, Suresh [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: New Delhi: Narosa Publishing House, 2009Description: xiii, 694pISBN:

9788173198540

Subject(s):

Other classification:

B28931 P9;15

Summary: Numerical Optimization with Applications provides a focused and detailed study of various numerical optimization methods and their applications in Science, Engineering and Management. Apart from discussing standard optimization methods and their traditional applications, the book includes some very recent topics like Semi-definite Programming, Second Order Cone Programming, Evolutionary Methods and Global optimization. An attempt has been made to present some modern and non-conventional applications of numerical optimization in the areas of Machine Learning, VLSI Design/ Electrical Circuits and Financial Mathematics. A distinctive feature of the book is also to provide basic MATLAB codes as building blocks for readers to develop their own codes for various algorithms discussed in the book.

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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Textbook	Central Science Library	Central Science Library	B28931 P9;15 (Browse shelf(Opens below))	Available	SL1559952

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Previous	B28931 P3;R0 Introduction to applied optimization	B28931 P7;R1 Practical optimization: Algorithms and engineering applications	B28931 P9 Numerical optimization with applications	B28931 P9;15 Numerical optimization with applications	B28931 R0 Shape optimization problems	B28931 R1 Introduction to continuous optimization	B28931 R1 Nonlinear optimization: Models and applications	Next

References 681-690p.; Index 691-694p.

Numerical Optimization with Applications provides a focused and detailed study of various numerical optimization methods and their applications in Science, Engineering and Management. Apart from discussing standard optimization methods and their traditional applications, the book includes some very recent topics like Semi-definite Programming, Second Order Cone Programming, Evolutionary Methods and Global optimization. An attempt has been made to present some modern and non-conventional applications of numerical optimization in the areas of Machine Learning, VLSI Design/ Electrical Circuits and Financial Mathematics. A distinctive feature of the book is also to provide basic MATLAB codes as building blocks for readers to develop their own codes for various algorithms discussed in the book.

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