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Handling Large Data Sets Efficiently in MATLAB 1.0

  Date Added: March 28, 2013  |  Visits: 260

Handling Large Data Sets Efficiently in MATLAB

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Example code from "Handling Large Data Sets Efficiently in MATLAB " webinar (http://www.mathworks.com/company/events/we.../wbnr30435.html) describing strategies for handling large amounts of data in MATLAB and avoiding "out-of-memory" errors. It will provide you with an understanding of the causes of memory limitations in MATLAB and a set of techniques to increase the available memory in MATLAB. It will also show techniques for minimizing memory usage in MATLAB while accessing, storing, processing, and plotting data.This information is also available (and updated) in technical note 1107:http://www.mathworks.com/support/tech-notes/1100/1107.htmlSpecific topics include:* Understanding the maximum size of an array and the workspace in MATLAB* Using undocumented features to show you the available memory in MATLAB* Setting the 3GB switch under Windows XP to get 1GB more memory for MATLAB* Using textscan to read large text files and memory mapping feature to read large binary files

Requirements: No special requirements
Platforms: Matlab
Keyword: Array Binary Datathis Feature Files Include Information Mapping Maximum Plotting Processing Technical Textscan Topics Understanding Updated Windows Workspace
Users rating: 0/10

License: Freeware Size: 1.26 MB
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