.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Selected Applications of Convex Optimization
Li Li
€ 65.44
FREE Delivery in Ireland
Description for Selected Applications of Convex Optimization
Paperback. Series: Springer Optimization and Its Applications. Num Pages: 140 pages, 5 black & white illustrations, 25 colour illustrations, biography. BIC Classification: PBU; PBWH; UFM. Category: (P) Professional & Vocational. Dimension: 162 x 236 x 8. Weight in Grams: 234.
This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
Product Details
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Format
Paperback
Publication date
2015
Series
Springer Optimization and its Applications
Condition
New
Number of Pages
140
Place of Publication
Berlin, Germany
ISBN
9783662463550
SKU
V9783662463550
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Selected Applications of Convex Optimization
“Selected Applications of Convex Optimization is a brief book, only 140 pages, and includes exercises with each chapter. It would be a good supplemental text for an optimization or machine learning course.” (John D. Cook, MAA Reviews, maa.org, December, 2015)