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- CREATE STANDALONE APP MATLAB R2013A LINUX HOW TO
- CREATE STANDALONE APP MATLAB R2013A LINUX GENERATOR
- CREATE STANDALONE APP MATLAB R2013A LINUX ARCHIVE
- CREATE STANDALONE APP MATLAB R2013A LINUX CODE
It is very likely you will want to install some other software that uses the MATLAB framework at some point, and in the real world software doesn't always find other software even if you know how to tell it where to look for. Install it in its default location (you will need root access for this), don't be stubborn like I tried to be. I hope I am not forgetting/missing/mistaking anything. This is how I got it working and what I could learn from all the hassle regarding how my Linux box works. What needs to be done to make COBRA 2.05 running on top of MATLAB R2013a under Linux (Ubuntu 14.04 or the latest Mint, but this is not likely distro-specific) able to read and write SBML XML files? In other words, what needs to be done system-wide to make COBRA pass its own testSBML test? If one tries to use the pre-compiled libSBML, COBRA won't find the "MATLAB bindings" and therefore won't be able to, for example, read and write SBML XML files from the disk in a m-script. Unlike the Windows versions, the Linux binary packages do not integrate well out-of-the-box: to begin with, the pre-compiled Linux binary of libSBML (open-source) available for download does not come with MATLAB support. Therefore, routines to read and write those large models according to some format specification are a must-have, and COBRA uses the standard SBML for that. Such a "network" is a system of equations that can have a very large number of equations and variables (such as thousands).
CREATE STANDALONE APP MATLAB R2013A LINUX CODE
The COBRA toolbox is an optimization suite that runs on top of MATLAB aimed at the development of MATLAB code for metabolic network modelling. So on first time startup we have the software figure out where it is installed and then where the absolute location of the resources are and then edit the stylesheet.MATLAB R2013a (Also known as 8.1, 64-bit MATLAB no longer supports 32-bit Linux anyway)Ī 64-bit Linux OS (such as Ubuntu 14.04 or the latest Mint but not restricted to them) Unfortunately the stylehseet (.rgs- actually an xml) seems to only take absolute file paths for resources like bitmaps we use for report headers.
CREATE STANDALONE APP MATLAB R2013A LINUX GENERATOR
For example we use the Matlab report generator for some reports. This was also another reason we went to the MCR_CACHE_ROOT for the. m code you are free to manipulate your other resources included in there. 2) Our CTF contains a number of resource files and preferences. This is for two reasons 1) We unpack once to a folder under the executable.
CREATE STANDALONE APP MATLAB R2013A LINUX ARCHIVE
On our desktop apps we generally just compile with the ctf archive separately (-C switch on mcc). NET deployment of one of our apps and it improved the startup time and a number of other headaches considerably. I can confirm that setting the MCR_CACHE_ROOT variable is indeed the way to go. Personally, I will not do this operation.
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In the following example, $RANDOM is a bash function that returns a random number: Otherwise, simply delete the temporary folder after the executable ends. If you plan to reuse the extracted files again, then perhaps you should not delete the extracted files but reuse them. In both cases, the solution is to set MCR_CACHE_ROOT to a local folder (e.g., /tmp or %TEMP%). If the executable is run in parallel on different machines (for example, a computer cluster running a parallel program), then this might even cause lock-outs when different clusters try to access the same network location.
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Setting MCR_CACHE_ROOT is especially important when running the executable from a network (NFS) location, since unpacking onto a network location could be quite slow. If you wish to set this env variable permanently on Windows, look at the explanation provided here. Set MCR_CACHE_ROOT="C:\Documents and Settings\Yair\Matlab Cache\" REM set MCR_CACHE_ROOT=%TEMP% set MCR_CACHE_ROOT="C:\Documents and Settings\Yair\Matlab Cache\"