octave

I have a ".mat" file that I want to open and see the contents of. Since I don't have MATLAB, I downloaded GNU's Octave. Since I'm working on Mac's TERMINAL, I'm not exactly sure how to open the ".mat" file so that I can see the contents. Can anyone help me with this? Thanks! Not sure which version of .mat file you might have, or whether Octave keeps up with the latest Matlab formats. Here's a link that might be a good start . Bottom line is that you can say: load MyMatFile.mat right at the Octave prompt. In case you wind up having to write code to read the .mat file ever: I've done this before

I am trying to read a text file containing digits and strings using Octave. The file format is something like this: A B C a 10 100 b 20 200 c 30 300 d 40 400 e 50 500 but the delimiter can be space, tab, comma or semicolon. The textread function works fine if the delimiter is space/tab: [A,B,C] = textread ('test.dat','%s %d %d','headerlines',1) However it does not work if delimiter is comma/semicolon. I tried to use dklmread: dlmread ('test.dat',';',1,0) but it does not work because the first column is a string. Basically, with textread I can't specify the delimiter and with dlmread I can't

I'm used to working in Matlab using its full GUI environment. Due to license issues I went and installed Octave, but it appears that it doesn't have a GUI, at least not one that's installed by default. I transferred the variables from Matlab to Octave by save ing them in Matlab and load ing them in Octave. Thing is, I don't remember the names because I got used to seeing them in the little workspace window which I no longer have. How can I see the list of defined variables and their types in Octave? Alexander Torstling The command whos will do just that. You can use a GUI similar to Matlab,

Following this post I decided to benchmark Julia against GNU Octave and the results were inconsistent with the speed-ups illustrated in julialang.org . I compiled both Julia and GNU Octave with CXXFLAGS='-std=c++11 -O3' , the results I got: GNU Octave a=0.9999; tic;y=a.^(1:10000);toc Elapsed time is 0.000159025 seconds. tic;y=a.^(1:10000);toc Elapsed time is 0.000162125 seconds. tic;y=a.^(1:10000);toc Elapsed time is 0.000159979 seconds. -- tic;y=cumprod(ones(1,10000)*a);toc Elapsed time is 0.000280142 seconds. tic;y=cumprod(ones(1,10000)*a);toc Elapsed time is 0.000280142 seconds. tic;y

I have been using Octave and MATLAB for a few projects, and I've come across a few questions. This question Why/when should I prefer MATLAB over Octave? ) answered several, but there is still one lingering... I've read a number of posts/other sources comparing performance of Octave and MATLAB, and I've run some of my own tests on standard scripts that confirm the general consensus that Octave is generally much slower than MATLAB for standard operations (iterated, of course, so that the comparison is meaningful). The consensus also seems to suggest that most of MATLAB's performance boost is

In our shoestring operation we need to prototype algorithms in some higher-level language before committing to a C implementation on embedded hardware. So far we have been using MATLAB to do that, but the licensing costs are beginning to hurt. We're considering porting our MATLAB code to Octave. Is there any particular reason not to do that? Will we break any compatibility, especially if we have external partners who insist on using MATLAB? Are there any performance penalties we can expect? carlosdc In 2008 I tried doing the same thing. I quickly noticed the following show stoppers: Toolboxes

Is there an alternative to the fminunc function (from octave/matlab) in python? I have a cost function for a binary classifier. Now I want to run gradient descent to get minimum value of theta. The octave/matlab implementation will look like this. % Set options for fminunc options = optimset('GradObj', 'on', 'MaxIter', 400); % Run fminunc to obtain the optimal theta % This function will return theta and the cost [theta, cost] = ... fminunc(@(t)(costFunction(t, X, y)), initial_theta, options); I have converted my costFunction in python using numpy library, and looking for the fminunc or any

When I try to plot a graph on GNU Octave, and try to use plot, it gives me the following output set terminal aqua enhanced title "Figure 1" size 560 420 font "*,6" dashlength 1 ^ line 0: unknown or ambiguous terminal type; type just 'set terminal' for a list I am using Mac OS X 10.9.2. I have tried using octave:79> setenv("GNUTERM","X11") but I still get the same error. Cheng Long setenv("GNUTERM","qt") in your octave command prompt, it should solve the problem. I think your problem comes from using the CLI. As of January 2, 2014. If you're using OS/X 10.9 (Maverics) then you can opt to use