First Order Methods in Optimization is popular PDF and ePub book, written by Amir Beck in 2017-10-02, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, First Order Methods in Optimization can be Read Online from any device for your convenience.
First Order Methods in Optimization Book PDF Summary
The primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale problems. First-order methods exploit information on values and gradients/subgradients (but not Hessians) of the functions composing the model under consideration. With the increase in the number of applications that can be modeled as large or even huge-scale optimization problems, there has been a revived interest in using simple methods that require low iteration cost as well as low memory storage. The author has gathered, reorganized, and synthesized (in a unified manner) many results that are currently scattered throughout the literature, many of which cannot be typically found in optimization books. First-Order Methods in Optimization offers comprehensive study of first-order methods with the theoretical foundations; provides plentiful examples and illustrations; emphasizes rates of convergence and complexity analysis of the main first-order methods used to solve large-scale problems; and covers both variables and functional decomposition methods.
Detail Book of First Order Methods in Optimization PDF
- Author : Amir Beck
- Release : 02 October 2017
- Publisher : SIAM
- ISBN : 9781611974997
- Genre : Mathematics
- Total Page : 487 pages
- Language : English
- PDF File Size : 17,9 Mb
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