[PDF.45ue] Convex Optimization: Algorithms and Complexity (Foundations and Trends(r) in Machine Learning)

Convex Optimization: Algorithms and Complexity (Foundations and Trends(r) in Machine Learning)

[PDF.pi06] Convex Optimization: Algorithms and Complexity (Foundations and Trends(r) in Machine Learning)

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 | #2803411 in Books |  2015-10-28 | Original language:English | PDF # 1 |  9.21 x.30 x6.14l,.46 | File type: PDF | 142 pages

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This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms. It begins with the fundamental theory of black-box optimization and proceeds to guide the reader through recent advances in structural optimization and stochastic optimization. The presentation of black-box optimization, strongly influenced by the seminal book by Nesterov, includes the analysis of cutting plane methods, as well as (accelerated) gradient descent...

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