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| Artikel-Nr.: 858A-9783319915777 Herst.-Nr.: 9783319915777 EAN/GTIN: 9783319915777 |
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![](/p.gif) | This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning. Researchers in theoretical optimization as well as professionals working on optimization problems will findthis book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author's lectures, it can naturally serve as the basis for introductory and advanced courses in convex optimization for students in engineering, economics, computer science and mathematics. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Yurii Nesterov | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: Algorithmus, Mathematik, Optimierung, complexity, complexity theory, graphs, mathematical programming, optimization, Fast Gradient Methods, Self-Concordant Functions, Interior-Point Methods |
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