Numerical optimization with applications

By:

Chandra, Suresh [author]

Contributor(s):

Material type:

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.

Item type:

Textbook

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textbook	Central Science Library	Central Science Library			B28931 P9;15 (Browse shelf(Opens below))					Available			SL1559952

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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