Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 101,96
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2017. paperback. . . . . .
Idioma: Inglés
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 124,21
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 127,22
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2017. paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Society for Industrial & Applied Mathematics,U.S., 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 115,42
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Society for Industrial & Applied Mathematics, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 158,63
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Añadir al carritoCondición: New. pp. 484.
Idioma: Inglés
Publicado por Society for Industrial & Applied Mathematics, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: Majestic Books, Hounslow, Reino Unido
EUR 160,32
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 484.
Idioma: Inglés
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2017
ISBN 10: 1611974984 ISBN 13: 9781611974980
Librería: Rarewaves.com UK, London, Reino Unido
EUR 117,23
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 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.