Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
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ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
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Publicado por Cambridge University Press -, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Publicado por Cambridge University Press, GB, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
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Añadir al carritoHardback. Condición: New. Using a pedagogical, unified approach, this book presents both the analytic and combinatorial aspects of convexity and its applications in optimization. On the structural side, this is done via an exposition of classical convex analysis and geometry, along with polyhedral theory and geometry of numbers. On the algorithmic/optimization side, this is done by the first ever exposition of the theory of general mixed-integer convex optimization in a textbook setting. Classical continuous convex optimization and pure integer convex optimization are presented as special cases, without compromising on the depth of either of these areas. For this purpose, several new developments from the past decade are presented for the first time outside technical research articles: discrete Helly numbers, new insights into sublinear functions, and best known bounds on the information and algorithmic complexity of mixed-integer convex optimization. Pedagogical explanations and more than 300 exercises make this book ideal for students and researchers.
Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Cambridge University Press Jan 2025, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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Añadir al carritoBuch. Condición: Neu. Neuware - This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in optimization, operations research, computer science, and applied mathematics will appreciate the book's 300+ exercises and coverage of new developments.
Publicado por Cambridge University Press, GB, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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Añadir al carritoHardback. Condición: New. Using a pedagogical, unified approach, this book presents both the analytic and combinatorial aspects of convexity and its applications in optimization. On the structural side, this is done via an exposition of classical convex analysis and geometry, along with polyhedral theory and geometry of numbers. On the algorithmic/optimization side, this is done by the first ever exposition of the theory of general mixed-integer convex optimization in a textbook setting. Classical continuous convex optimization and pure integer convex optimization are presented as special cases, without compromising on the depth of either of these areas. For this purpose, several new developments from the past decade are presented for the first time outside technical research articles: discrete Helly numbers, new insights into sublinear functions, and best known bounds on the information and algorithmic complexity of mixed-integer convex optimization. Pedagogical explanations and more than 300 exercises make this book ideal for students and researchers.
Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. Using a pedagogical, unified approach, this book presents both the analytic and combinatorial aspects of convexity and its applications in optimization. On the structural side, this is done via an exposition of classical convex analysis and geometry, along with polyhedral theory and geometry of numbers. On the algorithmic/optimization side, this is done by the first ever exposition of the theory of general mixed-integer convex optimization in a textbook setting. Classical continuous convex optimization and pure integer convex optimization are presented as special cases, without compromising on the depth of either of these areas. For this purpose, several new developments from the past decade are presented for the first time outside technical research articles: discrete Helly numbers, new insights into sublinear functions, and best known bounds on the information and algorithmic complexity of mixed-integer convex optimization. Pedagogical explanations and more than 300 exercises make this book ideal for students and researchers. This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in optimization, operations research, computer science, and applied mathematics will appreciate the book's 300+ exercises and coverage of new developments. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 94,77
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Añadir al carritoHardcover. Condición: Brand New. 328 pages. 9.02x5.98x0.50 inches. In Stock.
Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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EUR 76,75
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Añadir al carritoHardcover. Condición: new. Hardcover. Using a pedagogical, unified approach, this book presents both the analytic and combinatorial aspects of convexity and its applications in optimization. On the structural side, this is done via an exposition of classical convex analysis and geometry, along with polyhedral theory and geometry of numbers. On the algorithmic/optimization side, this is done by the first ever exposition of the theory of general mixed-integer convex optimization in a textbook setting. Classical continuous convex optimization and pure integer convex optimization are presented as special cases, without compromising on the depth of either of these areas. For this purpose, several new developments from the past decade are presented for the first time outside technical research articles: discrete Helly numbers, new insights into sublinear functions, and best known bounds on the information and algorithmic complexity of mixed-integer convex optimization. Pedagogical explanations and more than 300 exercises make this book ideal for students and researchers. This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in optimization, operations research, computer science, and applied mathematics will appreciate the book's 300+ exercises and coverage of new developments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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EUR 119,16
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Añadir al carritoHardcover. Condición: new. Hardcover. Using a pedagogical, unified approach, this book presents both the analytic and combinatorial aspects of convexity and its applications in optimization. On the structural side, this is done via an exposition of classical convex analysis and geometry, along with polyhedral theory and geometry of numbers. On the algorithmic/optimization side, this is done by the first ever exposition of the theory of general mixed-integer convex optimization in a textbook setting. Classical continuous convex optimization and pure integer convex optimization are presented as special cases, without compromising on the depth of either of these areas. For this purpose, several new developments from the past decade are presented for the first time outside technical research articles: discrete Helly numbers, new insights into sublinear functions, and best known bounds on the information and algorithmic complexity of mixed-integer convex optimization. Pedagogical explanations and more than 300 exercises make this book ideal for students and researchers. This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in optimization, operations research, computer science, and applied mathematics will appreciate the book's 300+ exercises and coverage of new developments. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
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EUR 58,07
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Publicado por Cambridge University Press, 2025
ISBN 10: 110883759X ISBN 13: 9781108837590
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 175,35
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Añadir al carritohardcover. Condición: New. New. book.