Data is recorded only for 20 seconds of the experiment with a sampling time of 0.002 s. (Matlab v. 2015)
Hi Luliia,
The most straightforward way to increase memory for MATLAB is to add more RAM to your computer. MATLAB will use the available system memory, so more RAM generally means more memory for MATLAB to work with. Other ways is to Optimize MATLAB Code: Efficient coding can significantly reduce memory usage. For example, avoid unnecessary variables or large temporary variables, use appropriate data types (like single instead of double if high precision is not necessary), and leverage in-built MATLAB functions that are optimized for performance.Use MATLAB Memory Management Functions:Functions like pack, clear, or memory can help manage the workspace. pack saves workspace variables to disk and reloads them to consolidate fragmented memory. clear removes variables from the workspace, freeing up memory. The memory function provides information about the amount of memory available to MATLAB.Increase Java Heap Memory:MATLAB uses Java for its graphical user interface and some functionalities. Increasing the Java heap memory can sometimes help, especially if you're dealing with Java objects or the GUI. You can adjust this in the MATLAB preferences (Home tab → Preferences → MATLAB → General → Java Heap Memory).Use MATLAB’s Memory-Mapping Features:For very large data sets, consider using memory-mapping (with memmapfile), which allows parts of a data file to be read into memory, reducing the overall memory footprint.Adjust MATLAB's Preferences:In MATLAB's preferences, you can adjust settings that impact memory usage. For instance, setting the preference for variable editing to limit the size of arrays brought into the workspace.Use Efficient Data Structures:Certain data structures are more memory-efficient than others. For example, sparse matrices in MATLAB can save a significant amount of memory when dealing with large matrices with many zero elements.Consider MATLAB Parallel Computing Tools:If you have the Parallel Computing Toolbox, you can distribute computations and data across multiple cores or nodes, which can effectively increase the memory available for your computations.Monitor Memory Usage:Regularly monitor memory usage during your MATLAB session. Functions like whos, memory, or the MATLAB profiler can help identify memory bottlenecks.Upgrade MATLAB (if applicable):Ensure you are using the latest version of MATLAB. Newer versions often include performance improvements and better memory management.
I hope i helped.
D.
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