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This book aims to provide meaningful context for reviewing key topics of college mathematics curriculum. The topics covered include a library of elementary functions, basic concepts of descriptive statistics – all in the context of digital image processing.
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The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.
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Turing's famous 1936 paper introduced a formal definition of a computing machine, a Turing machine. This book presents classical computability theory from... Læs mere
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For example, grammar-based techniques are introduced for traversals of Cartesian and octree-type meshes, and... Læs mere
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Most of the methods in this text apply to all regression models, but special... Læs mere
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This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples.
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This book introduces R using SAS and SPSS terms with which you are already familiar. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon.
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This book was written to serve as an introduction to logic, with in each chapter – if applicable – special emphasis on the interplay between logic and philosophy, mathematics, language and (theoretical) computer science.
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This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
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This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018.
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The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin.