An Easy Path to Convex Analysis and Applications - Couverture rigide
Livre 48 sur 72: Synthesis Lectures on Mathematics & Statistics
Synopsis
This book examines the most fundamental parts of convex analysis and its applications to optimization and location problems. Accessible techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and to build a theory of generalized differentiation for convex functions and sets in finite dimensions. The book serves as a bridge for the readers who have just started using convex analysis to reach deeper topics in the field. Detailed proofs are presented for most of the results in the book and also included are many figures and exercises for better understanding the material. Applications provided include both the classical topics of convex optimization and important problems of modern convex optimization, convex geometry, and facility location.
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À propos de l?auteur
Boris Mordukhovich, PhD, is Distinguished University Professor of Mathematics at Wayne State University. He has more than 500 publications including several monographs. Among his best known achievements are the introduction and development of powerful constructions of generalized differentiation and their applications to broad classes of problems in variational analysis, optimization, equilibrium, control, economics, engineering, and other fields. Dr. Mordukhovich is a SIAM Fellow, an AMS Fellow, and a recipient of many international awards and honors including Doctor Honoris Causa degrees from six universities over the world. He is a Highly Cited Researcher in Mathematics. His research has been supported by continued grants from the National Science Foundations and the Air Force Office of Scientific Research.
Nguyen Mau Nam, PhD, is Professor of Mathematics at Portland State University. He has published more than 60 research articles and one book in convex analysiswith applications to optimization theory and numerical algorithms. He has received several awards for his research including a best paper award by Journal of Global Optimization in 2021 and the Columbia-Willamette Chapter of Sigma Xi Outstanding Researcher Award in Mathematical Sciences in 2015. His research was supported by grants from the National Science Foundation, the Simons Foundation, and Portland State University.
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An Easy Path to Convex Analysis and Applications (Synthesis Lectures on Mathematics & Statistics)
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Springer, 2023
ISBN 10 : 3031264576
ISBN 13 : 9783031264573
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Couverture rigide
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An Easy Path to Convex Analysis and Applications
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ISBN 13 : 9783031264573
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines the most fundamental parts of convex analysis and its applications tooptimization and location problems. Accessible techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and to build atheory of generalized differentiation for convex functions and sets in finite dimensions.The book serves as a bridge for the readers who have just started using convex analysis to reach deeper topics in the field. Detailed proofs are presented for most of the results in the book and also included are many figures and exercises for better understanding the material. Applications provided include both the classical topics of convex optimization and important problems of modern convex optimization, convex geometry, and facility location. 320 pp. Englisch. N° de réf. du vendeur 9783031264573
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An Easy Path to Convex Analysis and Applications
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Springer, Berlin|Springer International Publishing|Morgan & Claypool Publishers|Springer, 2023
ISBN 10 : 3031264576
ISBN 13 : 9783031264573
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An Easy Path to Convex Analysis and Applications
ISBN 10 : 3031264576
ISBN 13 : 9783031264573
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -This book examines the most fundamental parts of convex analysis and its applications to optimization and location problems. Accessible techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and to build a theory of generalized differentiation for convex functions and sets in finite dimensions. The book serves as a bridge for the readers who have just started using convex analysis to reach deeper topics in the field. Detailed proofs are presented for most of the results in the book and also included are many figures and exercises for better understanding the material. Applications provided include both the classical topics of convex optimization and important problems of modern convex optimization, convex geometry, and facility location.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch. N° de réf. du vendeur 9783031264573
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An Easy Path to Convex Analysis and Applications
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Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10 : 3031264576
ISBN 13 : 9783031264573
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the most fundamental parts of convex analysis and its applications tooptimization and location problems. Accessible techniques of variational analysis are employed to clarify and simplify some basic proofs in convex analysis and to build atheory of generalized differentiation for convex functions and sets in finite dimensions.The book serves as a bridge for the readers who have just started using convex analysis to reach deeper topics in the field. Detailed proofs are presented for most of the results in the book and also included are many figures and exercises for better understanding the material. Applications provided include both the classical topics of convex optimization and important problems of modern convex optimization, convex geometry, and facility location. N° de réf. du vendeur 9783031264573
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Buch. Etat : Neu. An Easy Path to Convex Analysis and Applications | Boris Mordukhovich (u. a.) | Buch | xx | Englisch | 2023 | Springer | EAN 9783031264573 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 126446227
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