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Tamas Rapcsak - Smooth Nonlinear Optimization of RN - 9780792346807 - V9780792346807
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Smooth Nonlinear Optimization of RN

€ 246.39
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Description for Smooth Nonlinear Optimization of RN Hardback. Offers a differential geometric approach to smooth nonlinear optimization. This book replaces convexity by geodesic convexity and applies it in complementarity systems, to study the nonlinear coordinate representations of smooth optimization problems, to describe the structure by tensors, and to introduce a framework for variable metric methods. Series: Nonconvex Optimization and Its Applications. Num Pages: 390 pages, biography. BIC Classification: PBT; PBW; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 22. Weight in Grams: 730.
Experience gained during a ten-year long involvement in modelling, program­ ming and application in nonlinear optimization helped me to arrive at the conclusion that in the interest of having successful applications and efficient software production, knowing the structure of the problem to be solved is in­ dispensable. This is the reason why I have chosen the field in question as the sphere of my research. Since in applications, mainly from among the nonconvex optimization models, the differentiable ones proved to be the most efficient in modelling, especially in solving them with computers, I started to deal with the structure of ... Read more

Product Details

Format
Hardback
Publication date
1997
Publisher
Kluwer Academic Publishers United States
Number of pages
390
Condition
New
Series
Nonconvex Optimization and Its Applications
Number of Pages
376
Place of Publication
Dordrecht, Netherlands
ISBN
9780792346807
SKU
V9780792346807
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Smooth Nonlinear Optimization of RN
`... it is a pleasure to see and read how Tamás Rapcsák combines differential geometry and other high-level mathematics to model and solve problems which belong to smooth nonlinear optimization. The book can be highly recommended to researchers and graduate students interested in optimization theory. In summary, this book is a vaulable contribution to the ... Read more

Goodreads reviews for Smooth Nonlinear Optimization of RN


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