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I find several solvers appeared in MiniZinc Configuration. So what is the advantage of each solver? And what problems are classic examples for each soler? Thanks. solvers in MiniZinc Configuration
All MiniZinc solvers known to the MiniZinc team, including those in the bundle, are described on the software page of the MiniZinc website. Look for the heading "FlatZinc implementations".
Note that most of these solvers are full solving environment and that not all features of a solver might be natively available in the MiniZinc environment.
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I would like to use the Autonomous Driving Toolbox in Matlab. But I prefer to know more abou it before I buy it. For instance, is it possible to customize some modules in the toolbox with some different algorithms than the default? For example, in the motion planning section of the toolbox, there's only one planner module provided by Matlab called "pathPlannerRRT" which implements the RRT algorithm for path planning, is it possible to create another customized planner with another or self-designed algorithm?
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How come Matlab returns 6 when asking for the rank of an identity matrix of size 7?
rank(eye(7))
apparently there has to be more text here for me to be able to post the question.
Thanks
rank in matlab 2014a uses svd, not svds. If your local file uses svds the installation is corrupted. I recommend to reinstall Matlab and set write restrictions to the toolbox folder afterwards to prevent such problems happen again.
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I'm currently working on an enhancement for a commercial utility that involves annotations with respect to LeadTools v13. In terms of LeadTools, it would appear that most things start off with the raster object, but without documentation for V13, it's somewhat of a challenge to make heads or tails of how to proceed in terms of reading the annotation files in.
If anyone has any code examples for such an old version, any help would be appreciated.
LEADTOOLS support don't have online documentation for this old version of LEADTOOLS. However, our help files shipped with the toolkit includes code examples for most of our functions including the annotations functions. You can find our help files in the following folder:
[LEADTOOLS 13 Folder]\Help
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What is the best way to implement group algebra using Matlab. More specifically, I only want to work with permutation groups (and their subgroups) but would like a way to find kernels and cosets without coding a brute force version myself.
GAP is a 'System for Computational Discrete Algebra' and is able to do all the things requested in the question.
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Have been looking for an alternative to MatLab...found working on Octave quite difficult...missing the debugging capabilities of MatLab...Came across FreeMat...wanted to know how is FreeMat different from Octave...is it just a graphical frontend to Octave like QtOctave (which I'm yet to explore) or is it more than that? What additional capabilities does it provide? What would be a better use of time - investing in FreeMat or makign do with Octave using tools like QtOctave (matlab not an option)?
In short, both GNU Octave and FreeMat are open-source alternatives to MATLAB. However, Octave is more mature and has wider community support.
I also found this interesting article that compares MATLAB, Octave, FreeMat and SciLab. It does point out a few issues against FreeMat:
It doesn't support some functions (such as kron and pcg).
It has limited 3-D graphics capabilities (e.g. no support for the mesh function).
It is also lacking in the ODE department, for not having a state-of-the-art solver.
Essentially, this article concludes that Octave is indeed the most compatible with MATLAB at present.
Now, if you're searching for a good GUI/IDE, try one of these.