The following codes are Matlab implementations for solving several formulations of sparse approximation problems using the IBM ILOG.
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Seond question: I don't know how many knots should I choose for data fitting, my curve is a smoothed step curve, If I choose too many knots, the result is wrong.
We also suggested a citation format for tools from the file exchange, if you do need an explicit reference.
LSQLIN is a better solver for these problems, but the use of LSQLIN forces me to use purely necessary constraints.
Bixby was also the founder of CPLEX, while Rothberg and Gu led the CPLEX development team for nearly a decade.
For example, I would like to have linear, constant, linear curve, where the two intersections are unknown.
If you are having problems with your MATLAB search path, run the following MATLAB commands and then restart MATLAB.
After a delay, the full Matlab interface will be displayed on your machine and you will be able to run commands, load and edit.
If you could only download one curve fitting tool to your laptop on a desert island, this should be it.
When SLM is called for a fixed knot problem, I believe that CPLEX could probably be used to replace either of the calls to LSQLIN or LSE, but that does not appear to be your problem.
MATLAB that lets you write MATLAB programs that build and solve AMPL models using any available solver (including CPLEX).
The point is, if you provide a point that lies outside of the support of the spline, it uses the value of the spline at the end point knot for the value it returns.
Meyer also did not give out how to fit the data with half convex and half concave, it seems still a long way for me to get out.
AMPL's flexibility and convenience render it ideal for rapid prototyping and model development, while its speed and control options make it an especially efficient choice for repeated production runs.
Just if anybody was having the same problem as mine, my problem just got solved, I have received an email from the IBM support telling me that it was an error in my account and they have solved this issue.
While I'd like to provide such a tool, more important in my opinion is to write a GUI wrapper for SLM.
Hi, when looking at the stack trace it appears that the crash happens at a stage where no CPLEX function has yet been executed.
DO wish to extrapolate, then since you can control the shape of the spline out as far as the knots go, then you can force the tool to extrapolate intelligently, at least within the bounds of the knots.
If you were not running in parallel, then sim() would probably look in your workspace to try to find the variable T_SIM and then would probably look in the base workspace for it.
If so, I might suggest putting the call to slmengine inside a wrapper, an objective function for fmincon.
If I use your SLM tool for monotonic data fitting, is the theory under your slm tool similar with that in this paper.
If you own the toolbox and the right Matlab version try to restart Matlab once, sometimes that helps too.
Running the full MATLAB environment on the Iris cluster will require you to enable X11 forwarding in order for the graphical environment to be shown on your.
If you have download CPLEX for AMPL from the AMPL website, then normally you will set the solver to CPLEX by giving the AMPL command.
Personally, I think SLM is by far my favorite, but then you cannot blame me for being biased in that direction.
John, Would you tell me what is the spline basis function you choosed in SLM tool if I use cubic spline of drgree 3 for curve fitting?
