Download or read book Final Edge written by Deepak Marwah and published by Jaypee Brothers Medical Publishers. This book was released on 2019-04-03 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book GPU Parallel Program Development Using CUDA written by Tolga Soyata and published by CRC Press. This book was released on 2018-01-19 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive, class-tested introduction to CUDA and GPU programming Covers CPU programming, parallellism, multi-threading, and other key concepts as a basis for understanding GPU programming Uses Nvidia's new platform based on Amazon EC2 and WebGPU Introduces GPU multi-threading and Global Memory, and the use of atomics and libraries on GPUs Includes example applications

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Download or read book Combinatorial Optimization and Applications written by Zhao Zhang and published by Springer. This book was released on 2014-11-13 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Combinatorial Optimization and Applications, COCOA 2014, held on the island of Maui, Hawaii, USA, in December 2014. The 56 full papers included in the book were carefully reviewed and selected from 133 submissions. Topics covered include classic combinatorial optimization; geometric optimization; network optimization; optimization in graphs; applied optimization; CSoNet; and complexity, cryptography, and games.

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Download or read book Topics in Graph Theory written by Jonathan L Gross and published by CRC Press. This book was released on 2023-05-24 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interplay continues to grow between graph theory and a wide variety of models and applications in mathematics, computer science, operations research, and the natural and social sciences. Topics in Graph Theory is geared toward the more mathematically mature student. The first three chapters provide the basic definitions and theorems of graph theory and the remaining chapters introduce a variety of topics and directions for research. These topics draw on numerous areas of theoretical and applied mathematics, including combinatorics, probability, linear algebra, group theory, topology, operations research, and computer science. This makes the book appropriate for a first course at the graduate level or as a second course at the undergraduate level. The authors build upon material previously published in Graph Theory and Its Applications, Third Edition, by the same authors. That text covers material for both an undergraduate and graduate course, while this book builds on and expands the graduate-level material. Features Extensive exercises and applications. Flexibility: appropriate for either a first course at the graduate level or an advanced course at the undergraduate level. Opens avenues to a variety of research areas in graph theory. Emphasis on topological and algebraic graph theory.

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Download or read book Digital Image Denoising in MATLAB written by Chi-Wah Kok and published by John Wiley & Sons. This book was released on 2024-06-10 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a “naturally looking” image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques.

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Download or read book Materials Mechatronics and Automation written by Dehuai Zeng and published by Trans Tech Publications Ltd. This book was released on 2011-02-21 with total page 2308 pages. Available in PDF, EPUB and Kindle. Book excerpt: A forum for those researchers, educators, engineers, and government officials involved in the general areas of Materials, Mechatronics and Automation and sensors, was provided by this collection of peer-reviewed papers. The resultant dissemination of the latest research results, and the exchanges of views concerning the future research directions to be taken by these fields makes the work of immense value to all those having an interest in the topics covered. Volume is indexed by Thomson Reuters CPCI-S (WoS). The more than 387 papers are grouped into: Chapter 1: Intelligent Mechatronics, Robotics, Biomimetics, Automation, Chapter 2: Materials, Mechatronics and Automation, Chapter 3: Industrial Automation and Manufacturing Process.