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practice, Topological Data Analysis for Scientific Visualization constitutes an appealing introduction to the increasingly important topic;
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practice, Topological Data Analysis for Scientific Visualization constitutes an appealing introduction to the increasingly important topic;
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field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide;
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data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative;
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: topological, geometrical and network models for maintenance of 3D geoinformation- Data Analysis and Visualization: frameworks for representing 3D;
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, and practical applications. It describes the state of the art at the intersection of scientific visualization, large data, and high;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This books programming-friendly;
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interactive data science and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling;
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collection of computer graphics techniques for the scientific visualization of behavior. The book combines a basic overview of the fundamentals;
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collection of computer graphics techniques for the scientific visualization of behavior. The book combines a basic overview of the fundamentals;
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The field of scientific visualization covers the study of visual representations of sci- entific data. These data often consist;
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Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data;
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solutions for managing and analyzing vast amounts of data, helping scientists focus on their scientific goals. The book begins with coverage;
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solutions for managing and analyzing vast amounts of data, helping scientists focus on their scientific goals. The book begins with coverage;
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available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's;
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, from 9-11 December 2018. The book discusses topics on topological dynamical systems and topological data analysis. Topics are ranging from;
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field of information visualization, whose technology is increasingly applied in scientific research, digital libraries, data mining, financial;
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) for scientific visualization. It is a practical and interesting introduction to Blender for understanding key parts of 3D rendering that;
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statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community;
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statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community;
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, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile;
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Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific;
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Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this;
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capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory;
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This work focuses on the contribution of topology to computer visualization methods. It covers not only linear but also non-linear problems;
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If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science;
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