First Order Methods Optimization by Amir Beck (13 results)
Language: English
Published by SIAM-Society for Industrial and Applied Mathematicsq (edition ), 2017
- Softcover
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Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2017
- Softcover
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Language: English
Published by SIAM-Society for Industrial and Applied Mathematicsq, 2017
- Softcover
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2017
- Softcover
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Condition: New. 2017. paperback. . . . . .
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2017
- Softcover
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Paperback. Condition: new. Paperback. 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 composin…g 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. Provides a self-contained, comprehensive study of the main first-order methods that are frequently used in solving large-scale problems. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2017
- Softcover
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Paperback. Condition: 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.
Language: English
Published by Society for Industrial & Applied Mathematics, 2017
- Softcover
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Condition: New. pp. 484.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2017
- Softcover
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Condition: New. 2017. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2017
- Softcover
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by Society for Industrial & Applied Mathematics, 2017
- Softcover
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Condition: New. pp. 484.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematicsq, 2017
- Softcover
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Condition: New. In English.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2017
- Softcover
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Paperback. Condition: 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.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2017
- Softcover
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Paperback. Condition: new. Paperback. 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 composin…g 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. Provides a self-contained, comprehensive study of the main first-order methods that are frequently used in solving large-scale problems. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
