Timeline for Fitting experimental data with a parametric function
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 11, 2019 at 20:01 | comment | added | Tim Laska | @KevinAusman No problem. I just wanted to show a workflow to the community how Mathematica could be used to generate better initial guesses efficiently and to create a useful JMP like functionality to make minor adjustments to fitted parameters. Also, I was uneasy with the current accepted answer generating unphysical parameter estimates for parameters that should be intrinsically positive. I thought this workflow would be more robust by seeding the fit with better initial parameter estimates. | |
| May 11, 2019 at 18:35 | comment | added | Kevin Ausman | Thank you for this. I already have developed almost all of this type of functionality on my own, plus a number of other valuable features (graphical parameter sensitivity analysis, automatic generation of differential rate laws from arbitrary chemical mechanisms where the mechanisms are entered in standard chemistry notation, and several others), and am just asking about the few bits that were missing. So don't take my lack of using your code as dismissal; your work looks great. I just am not looking to reinvent the wheel I've already invented. | |
| May 11, 2019 at 18:24 | history | answered | Tim Laska | CC BY-SA 4.0 |