Claude Lemarechal - Böcker
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7 produkter
7 produkter
958 kr
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Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way.
747 kr
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This book is an abridged version of our two-volume opus Convex Analysis and Minimization Algorithms [18], about which we have received very positive feedback from users, readers, lecturers ever since it was published - by Springer-Verlag in 1993.
Del 305 - Grundlehren der mathematischen Wissenschaften
Convex Analysis and Minimization Algorithms I
Fundamentals
Inbunden, Engelska, 1993
1 487 kr
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Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title of the book, reflect the two origins of the authors, who belong respectively to the academic world and to that of applications. Part I can be used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books.
Convex Analysis and Minimization Algorithms II
Advanced Theory and Bundle Methods
Inbunden, Engelska, 1993
1 487 kr
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From the reviews: This is the second book of a two-volume series...Its subtitle is "Advanced theory and bundle methods", which reflects the main contents of the book. This volume contains an excellent exposition of advanced numerical algorithms in convex optimization based on classical and new developments in convex analysis. There are two major themes in this volume: bundle methods and approximate subdifferentials...The authors provide excellent bibliographical comments; ...Mathematical Reviews
536 kr
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Ce livre est exclusivement consacré aux algorithmes numériques d'optimisation (quasi-Newton, faisceaux, programmation quadratique successive, points intérieurs); les bases théoriques (conditions d'optimalité, multiplicateurs de Lagrange) sont supposées connues.Son but est de familiariser le lecteur avec ces algorithmes, qui sont pour la plupart bien classiques. Leur description insiste sur leur implémentation numérique, ils peuvent être programmés directement par un lecteur expérimenté. Le côté théorique n'est pas pour autant négligé, avec démonstration de chaque théorème de convergence ou vitesse de convergence; souvent, ces démonstrations utilisent des hypothèses minimales.
Del 305 - Grundlehren der mathematischen Wissenschaften
Convex Analysis and Minimization Algorithms I
Fundamentals
Häftad, Engelska, 2011
1 487 kr
Skickas inom 10-15 vardagar
Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title of the book, reflect the two origins of the authors, who belong respectively to the academic world and to that of applications. Part I can be used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books.
Del 306 - Grundlehren der mathematischen Wissenschaften
Convex Analysis and Minimization Algorithms II
Advanced Theory and Bundle Methods
Häftad, Engelska, 2010
1 053 kr
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From the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations....