Publisher: Society for Industrial & Applied Mathematics,U.S.
Genre: Mathematics
ISBN: 9781611974980, 9781611974980
Pages: 484
Description
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.
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Specifications
Book Details
Title
First-Order Methods in Optimization
Imprint
Society for Industrial & Applied Mathematics,U.S.
Product Form
Paperback
Publisher
Society for Industrial & Applied Mathematics,U.S.
Genre
Mathematics
ISBN13
9781611974980
Book Category
Higher Education and Professional Books
BISAC Subject Heading
MAT003000
Book Subcategory
Mathematics and Science Books
ISBN10
9781611974980
Language
English
Dimensions
Height
229 mm
Length
152 mm
Weight
1020 gr
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