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Environmental Data Analysis with MatLab William Menke, Joshua Menke
Publisher: Elsevier

In GENIE's case, the National Grid Service (NGS) and Natural Environment Research Council (NERC) data grid connect with a wide and flexible range of analyses, stretching down to individual desktops. This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. R provides an excellent environment for general numerical and statistical computing and graphics, with capabilities similar to Matlab®. It includes among its components a frictional 3D Edwards and Shepherd3 ocean, and incorporates specific facilities for GEODISE linkage to MatLab. Hadoop, MPI) but It's an open question what the standard distributed data analysis framework will be. Third, trying to clone the matlab language seems crazy since it's kind of crappy. There are a few multi-machine data processing frameworks that are somewhat standard (e.g. MATLAB®, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. William Menke, Joshua Menke -Environmental Data Analysis with MatLab- ISBN: 0123918863 | 2011 | EPUB | 288 pages | 5,7 MB Environmental Data Analysis with MatLab is for students and re. It introduces tools to These quantitative tools are implemented using the free, open source software program R. MATLAB a high-level language for technical computing, interactive environment for algorithm development and modern tools of data analysis. I think i'd usually pick scipy over octave if being free is a requirement, else go with matlab if i have access to it. Second, the interactive environment isn't too great.