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Smooth Nonlinear Optimization in Rn
Tamas Rapcsak
€ 283.56
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Description for Smooth Nonlinear Optimization in Rn
Paperback. Series: Nonconvex Optimization and Its Applications. Num Pages: 390 pages, biography. BIC Classification: KJT; PBMP; PBMW; PBU. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 599.
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
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
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
390
Condition
New
Series
Nonconvex Optimization and Its Applications
Number of Pages
376
Place of Publication
New York, NY, United States
ISBN
9781461379201
SKU
V9781461379201
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Smooth Nonlinear Optimization in 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