Published 2001
by Springer in Berlin, New York .
Written in English
Edition Notes
Includes bibliographical references (p. [251]-252) and index.
| Statement | Jean-Baptiste Hiriart-Urruty, Claude Lemaréchal. |
| Series | Grundlehren text editions |
| Contributions | Lemaréchal, Claude, 1944- |
| Classifications | |
|---|---|
| LC Classifications | QA331.5 .H58 2001 |
| The Physical Object | |
| Pagination | x, 259 p. : |
| Number of Pages | 259 |
| ID Numbers | |
| Open Library | OL20644567M |
| ISBN 10 | 3540422056 |
| LC Control Number | 2001053271 |
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 Its pedagogical qualities were particularly. Fundamentals of Convex Analysis on *FREE* shipping on qualifying offers. Fundamentals of Convex Analysis/5(4). Fundamentals of Convex Analysis by Hiriart-Urruty, Jean-Baptiste and Lemarichal, Claude and Hiriart-Urruty, J. B. available in Trade Paperback on , also read synopsis and reviews. This book is an abridged version of our two-volume opus Convex Analysis and Minimization Algorithms. Fundamentals of Convex Analysis. 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
Fundamentals of Convex Analysis offers an in-depth look at some of the fundamental themes covered within an area of mathematical analysis called convex particular, it explores the topics of duality, separation, representation, and work is intended for students of economics, management science, engineering, and mathematics who need exposure to the mathematical Brand: Springer Netherlands. Fundamentals of Convex Analysis Jean-Baptiste Hiriart-Urruty, Claude Lemaréchal This book is an abridged version of the two volumes "Convex Analysis and Minimization Algorithms I and II" (Grundlehren der mathematischen Wissenschaften Vol. and ). Introduction. 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 Its pedagogical qualities were particularly appreciated, in the combination with a rather advanced technical material. Fundamentals of Convex Analysis offers an in-depth look at some of the fundamental themes covered within an area of mathematical analysis called convex analysis. In particular, it explores the topics of duality, separation, representation, and resolution. The work is intended for students of economics, management science, engineering, and mathematics who need exposure to the mathematical foundations of matrix games, optimization, and general equilibrium analysis.
This book is an abridged version of the two volumes "Convex Analysis and Minimization Algorithms I and II" (Grundlehren der mathematischen Wissenschaften Vol. and ).It presents an introduction to the basic concepts in convex analysis and a study of convex minimization problems (with an emphasis on numerical algorithms).Price: $ 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 Its pedagogical qualities were particularly appreciated, in the combination with a rather advanced technical material. Fundamentals of Convex Analysis offers an in-depth look at some of the fundamental themes covered within an area of mathematical analysis called convex analysis. In particular, it explores the topics of duality, separation, representation, and Price: $ Course notes: Convex Analysis and Optimization Dmitriy Drusvyatskiy ii. Contents 3 Convex geometry and analysis 55 Review of Fundamentals Inner products and linear maps Throughout, we x an Euclidean space E, meaning that E is a nite-File Size: KB.
