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| Author | : Mark Raymond Coodey |
| Publisher | : |
| Total Pages | : 126 |
| Release | : 1997 |
| Genre | : |
| ISBN | : |
| Author | : Stephen Simons |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 251 |
| Release | : 2008-02-13 |
| Genre | : Mathematics |
| ISBN | : 1402069189 |
This new edition of LNM 1693 aims to reduce questions on monotone multifunctions to questions on convex functions. However, rather than using a "big convexification" of the graph of the multifunction and the "minimax technique" for proving the existence of linear functionals satisfying certain conditions, the Fitzpatrick function is used. The journey begins with the Hahn-Banach theorem and culminates in a survey of current results on monotone multifunctions on a Banach space.
| Author | : Stephen Simons |
| Publisher | : Springer |
| Total Pages | : 173 |
| Release | : 2006-11-14 |
| Genre | : Mathematics |
| ISBN | : 3540689311 |
Focussing on the theory (both classical and recent) of monotone multifunctions on a (possibly nonreflexive) Banach space, this book looks at the big convexification of a multifunction; convex functions associated with a multifunction; minimax theorems as a tool in functional analysis and convex analysis. It includes new results on the existence of continuous linear functionals; the conjugates, biconjugates and subdifferentials of convex lower semicontinuous functions, Fenchel duality; (possibly unbounded) positive linear operators from a Banach space into its dual; the sum of maximal monotone operators, and a list of open problems. The reader is expected to know basic functional analysis and calculus of variations, including the Bahn-Banach theorem, Banach-Alaoglu theorem, Ekeland's variational principle.
| Author | : Jonathan M. Borwein |
| Publisher | : Cambridge University Press |
| Total Pages | : 533 |
| Release | : 2010-01-14 |
| Genre | : Mathematics |
| ISBN | : 0521850053 |
The product of a collaboration of over 15 years, this volume is unique because it focuses on convex functions themselves, rather than on convex analysis. The authors explore the various classes and their characteristics, treating convex functions in both Euclidean and Banach spaces.
| Author | : Szilárd László |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 300 |
| Release | : 2013 |
| Genre | : |
| ISBN | : 9783659497636 |
The aim of this work is to present several new results concerning monotone operator theory, applications to injectivity theorems, convex functions and variational inequalities, and some applications of the duality to the theory of maximal monotone operators. We begin with the study under which circumstances the local (generalized) monotonicity property of an operator is equivalent to its global counterpart. We introduce two new concepts, the -monotonicity of operators and the -convexity of real valued functions, that contain in particular several monotonicity/convexity notions from the literature. We dedicate a whole chapter to the study of variational inequalities of Stampacchia and Minty type and we establish several coicidence, respectively fixed point results. The last part this work is devoted to the study of famous sum problems involving two maximal monotone operators. Based on stable strong duality and introducing some generalized infimal convolution formulas, we establish most of the important results obtained so far in the literature related to this problem."
| Author | : J.-E Martinez-Legaz |
| Publisher | : |
| Total Pages | : 27 |
| Release | : 2004 |
| Genre | : |
| ISBN | : |
| Author | : Xue-Cheng Tai |
| Publisher | : North Holland |
| Total Pages | : 704 |
| Release | : 2019-10 |
| Genre | : |
| ISBN | : 0444641408 |
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more. Covers contemporary developments relating to the analysis and learning of images, shapes and forms Presents mathematical models and quick computational techniques relating to the topic Provides broad coverage, with sample chapters presenting content on Alternating Diffusion and Generating Structured TV-based Priors and Associated Primal-dual Methods
| Author | : |
| Publisher | : |
| Total Pages | : 862 |
| Release | : 1998 |
| Genre | : Dissertations, Academic |
| ISBN | : |
| Author | : Regina Sandra Burachik |
| Publisher | : |
| Total Pages | : 29 |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
| Author | : |
| Publisher | : Academic Press |
| Total Pages | : 353 |
| Release | : 1997-10-19 |
| Genre | : Technology & Engineering |
| ISBN | : 0080577652 |
Advances in Imaging & Electron Physics merges two long-running serials--Advances in Electronics & Electron Physics and Advances in Optical & Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.
