Lung-an Ying

Tony F. Chan

Yunqing Huang

Jinchao Xu

Tao Tang

The book discusses some key scientific and technological developments in computational and applied partial differential equations. It covers many areas of scientific computing, including multigrid methods, image processing, finite element analysis and adaptive computations. It also covers software technology, algorithms and applications. Most papers are of research level, and are contributed by some well-known mathematicians and computer scientists. The book will be useful to engineers, computational scientists and graduate students.

Conference Proceedings for the International Conference Held in Zhangjiajie in July 2001

Recent Progress in Computational and Applied PDES

Knut-Andreas Lie

Xue-Cheng Tai

Stanley Osher

This book publishes a collection of original scientific research articles that address the state-of-art in using partial differential equations for image and signal processing. Coverage includes: level set methods for image segmentation and construction, denoising techniques, digital image inpainting, image dejittering, image registration, and fast numerical algorithms for solving these problems.

Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse Problems, CMA, Oslo, August 8-12, 2005

Image Processing Based on Partial Differential Equations

Jack Dongarra

Richard Barrett

Michael W. Berry

James Demmel

June Donato

Victor Eijkhout

Roldan Pozo

Charles Romine

Henk van der Vorst

In this book, which focuses on the use of iterative methods for solving large sparse systems of linear equations, templates are introduced to meet the needs of both the traditional user and the high-performance specialist. Templates, a description of a general algorithm rather than the executable object or source code more commonly found in a conventional software library, offer whatever degree of customization the user may desire. Templates offer three distinct advantages: they are general and reusable; they are not language specific; and they exploit the expertise of both the numerical analyst, who creates a template reflecting in-depth knowledge of a specific numerical technique, and the computational scientist, who then provides "value-added" capability to the general template description, customizing it for specific needs. For each template that is presented, the authors provide: a mathematical description of the flow of algorithm; discussion of convergence and stopping criteria to use in the iteration; suggestions for applying a method to special matrix types; advice for tuning the template; tips on parallel implementations; and hints as to when and why a method is useful.

Building Blocks for Iterative Methods

Templates for the Solution of Linear Systems

Third International Symposium on Domain Decomposition Methods for Partial Differential Equations

Egil Bae

Marius Lysaker

This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.

10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings

Energy Minimization Methods in Computer Vision and Pattern Recognition

Tony F. Chan

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