User Portlet
| Discussions |
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| I have written an error function to compare simulated values to experimental data, but I also want to have a least squares fitting. I know that Mathematica has a function for it, I'm just not sure how that function can compare to what I want. The... |
| Apropos, Josh! You have done a mistake in writing argument of the function f[] in FindMinimum[]. The last but one argument must be **dfr2** not **drf2**. |
| km3, nm3, km4 and nm4 not assigned constant numeric values before being used in NDSolve. It would be nice if there were an easy way to change the pale blue denoting "not currently assigned a value" to blinking bright red, even temporarily. |
| You can get the points on which the interpolation is based using Reap and Sow, with EvaluationMonitor :> Sow[ variable[t]] |
| Thanks, can't believe it was only a typo but thanks for loaning me a second pair of eyes to look at it. |
| Nevermind, found a difference in the equations, so problem solved. |
| > Using this code above I keep getting imaginary solutions, which I > don't want. Well, if that is the solution, then there is really nothing you can do about it. You can always change the problem to obtain a solution that does not generate a... |
| Oh I didn't realize that. Your first solution is working rather well, but I will jot this down as well if I want to shorten the code a little bit down the road. To answer the rmsd being a legitimate value of NDSolve, it's not a variable like the... |
| It's rewritten a bit and now the high value is constantly in the first row, independent from the number of evaluations in a session. The results from the differential equation look similiar to each other, but the fef3 varies wildly: For nut =4 there... |
| Excellent. Thanks a lot Christopher. |