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Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Programming GPU-Based Interactive Visualization Techniques (Mathematics and Visualization)
Posted on 2010-03-15
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More GPU-Based Interactive Visualization Techniques (Mathematics and Visualization) by Daniel Weskopf Graphics processing units (GPUs) have been revolutionizing the way computer graphics and visualization are practiced. Driven by the computer-games industry and its demand for efficient hardware support for 3D graphics, GPUs have dramatically increased in performance and functionality within only a few years. Although graphics hardware is primarily designed for the fast rendering of 3D scenes, it can also be used for other types of computations. In fact, GPUs have evolved to programmable processors that can facilitate applications beyond traditional real-time 3D rendering. This book addresses scientific visualization as one application area that significantly benefits from the use of GPUs. In general, scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines. For example, scientists and engineers regularly use visualization to interpret simulations of air or water flow in computational fluid dynamics. Another example is the medical imaging of 3D CT (computer tomography) or MRI (magnetic resonance imaging) scans. The interactive exploration of data sets is becoming increasingly more important with the growing amount and complexity of those data sets: the user
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