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

By: Contributor(s): Material type: TextTextLanguage: English Publication details: New Delhi: Narosa Publishing House, 2009.Description: xiii, 694pISBN:
  • 9788173198540
Subject(s): Other classification:
  • B28931 P9
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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Item type Current library Home library Call number Status Barcode
Textual Textual Central Science Library Central Science Library B28931 P9 (Browse shelf(Opens below)) Available SL1446302

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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