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introduction to visual computing

Introduction to Computation in Physical Sciences Interactive Computing and Visualization with Python 【電子書籍】 Jay Wang

Introduction to Computation in Physical Sciences Interactive Computing and Visualization with Python?【電子書籍】[ Jay Wang ]

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価格￥6,076

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＜p＞This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds. The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language. Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic...

Introduction to Visual Computing Core Concepts in Computer Vision, Graphics, and Image Processing【電子書籍】[ Aditi Majumder ]

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価格￥7,901

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＜p＞＜strong＞Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing＜/strong＞ covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline.＜/p＞＜p＞The book is organized in four parts. The first part provides an exposure to different kinds of visual data (e.g. 2D images, videos and 3D geometry) and the core mathematical techniques that are required for their processing (e.g. interpolation...

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