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) for scientific visualization. It is a practical and interesting introduction to Blender for understanding key parts.;
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This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from;
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This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from;
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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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This is a 'how to' book for scientific visualization. The book does not treat the subject as a subset of information visualisation, but;
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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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Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive;
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Rapid advances in 3-D scientific visualization have made a major impact on the display of behavior. The use of 3-D has become a key;
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Rapid advances in 3-D scientific visualization have made a major impact on the display of behavior. The use of 3-D has become a key;
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approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations;
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approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations. YoĆ¼ll;
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as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as;
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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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This book presents the state of the art in software visualization and thus attempts to establish it as a field on its own. Based on a;
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large collection of discourses on the foundation of data visualization. Data visualization is a relatively young scientific discipline;
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challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs;
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challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs;
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At the 2016 IEEE VIS Conference in Baltimore, Maryland, a panel of experts from the Scientific Visualization (SciVis) community gathered to;
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This book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers;
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Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation;
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Widely praised for its strong biochemistry coverage, Becker's World of the Cell, Eighth Edition, provides a clear, up-to-date introduction;
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enable manipulation, modeling and visualization of data in a consistent way, and are helping to develop integrated Earth models at various scales;
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Virtual Reconstruction serves as an introduction to the principles of three-dimensional visualization techniques as they relate to fossil;
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A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards;
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Scientific Computing is a compendium of articles and papers that were presented at CSC '14, an international conference that serves;
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