Matlab Codes Free Download

[Lu Rounsaville]

Asgreat as MATLAB is as a mathematical language, its speed is not as fast as one like it to be. I am wondering what are the general practices to speed up running a MATLAB code? For example I know that if instead of running for loops one can do computations in vector/matrix format s/he will see speedup in running the code.

I have recently been through the frustrating process of installing Tom Minka's Lightspeed on my Mac. Along the way I learnt a few hard lessons worth sharing with other Mac users.My system has the following specificationsOS X version 10.8.5Xcode version 4.6.3Matlab version 2011a

1) Make sure that Lightspeed is installed on a path with NO spaces in its name. I made the mistake of putting it inside "Library/Application Support/Matlab" which caused me endless trouble. In particular, it led to the same issue reported by Tomer Levinboim (levinboim.blogspot.co.nz) with the added problem that his fixes did not fully resolve the problem!

2) Read Michel Valstar's notes "Compiling Matlab Mex Files on a Mac" and install the recommended patch from Mathworks ( ). This patch applies all the needed flag/option changes that Levinboim identifies.

5) Path settings persist between sessions so the startup.sh approach suggested in the Read Me appears to be unnecessary on a Mac. However, if you wish to go down that track, first read:

Where is startup.m supposed to be? -your-customized-startup-file-for-matlab .

I am currently calling OpenDSS to run a daily simulation on the LVTestCase in MATLAB. The .dss scripts are exactly the same as the files when installing OpenDSS. The simulation works well for the first time. However, if I run the codes for the second time, I get different results. If I restart MATLAB, the codes works well and again fails for the second time. Does any one have similar experience and could help ? Thanks in advance !

First note that just even though you're running clear all in MATLAB, it doesn't mean that OpenDSS will be closed there. It's effectively the same instance as before the clear allcommand. This mean that some state like DSSObj.AllowForms = false is kept, as well as the open files as you can see through the error you found.

DSS_MATLAB automatically maps most errors to exceptions to stop the script before OpenDSS crashes due to an unexpected/incomplete state. You could also use something like this with COM to mimic the behavior:

On first sight: You are creating global variables in the inner loop. That would be bad in any language on purely stylistic grounds, but in Julia working with non-const untyped global variables is particularly bad for performance.

Have you had a chance to read Performance Tips The Julia Language ? It is a particularly important part of the documentation for people coming from other languages, as Julia slightly different habits than Python and Matlab.

A quick guess: This line distance=maximum(TV-V); probably causes significant allocations that will be slowing down your code. TV-V would be allocating a new array each time, which would be much slower than the rest of the code combined. I.e. reserving the memory would be slower than actually running the computation of the values to put in that memory.

Also, could you share how you were benchmarking? I would strongly suggest using @btime from BenchmarkTools.jl when measuring the speed of julia code, in order to make sure you are not measuring compilation time.

I would also say that your code is clearly written in a matlab kind of way, and that a Julian formulation would probably look very different. But it takes some effort to see what your code is actually trying to do, which is a key part of making an improved rewrite. A general tip to make it easy to help you is to boil down the code as much as possible in a clear example, which is then easier to optimize.

You are in fact (WRONG, I did not know the syntax well enough in writing this) making a 1-element vector containing a range as its only element, which does not seem to be what you want. Espesially concidering your calls to length(k_grid). But if I remove the semicolon, your code breaks. It is just a messy code to understand and optimize, which is unrelated to Julia and Matlab.

You can use this extension with or without MATLAB installed on your system. However, to make use of the advanced features of the extension or run MATLAB code, you must have MATLAB R2021a or later installed. For more information, see the Get Started section.

You can install the extension from within Visual Studio Code or download it from Visual Studio Code Marketplace. After installing the extension, you might need to configure it to make full use of all the features. For more information, see the Configuration section.

You can run a MATLAB code file or a selection within a MATLAB code file in Visual Studio Code using the Run button at the top of the file or the Run File or Run Current Selection commands. When you run the file, output displays in the "Terminal" pane of Visual Studio Code. You also can enter MATLAB code directly in the MATLAB terminal. To stop execution of MATLAB code, press Ctrl+C.

By default, the extension indexes all the MATLAB code files (.m) in your current workspace. Indexing allows the extension to find and navigate between your MATLAB code files.You can disable indexing to improve the performance of the extension. To disable indexing, set the matlab.indexWorkspace setting to false. Disabling indexing can cause features such as code navigation not to function as expected.

By default, the extension starts MATLAB in the background when you open a MATLAB code file in Visual Studio Code. To control when the extension starts MATLAB, set the matlab.matlabConnectionTiming setting to one of these values:

You can help improve the extension by sending user experience information to MathWorks. By default, the extension sends user experience information to MathWorks. To disable sending information, set the matlab.telemetry setting to false.

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