Timeline for Can ParametricNDsolve be used for coupled PDEs with 5 parameters?
Current License: CC BY-SA 3.0
7 events
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| Mar 9, 2014 at 18:10 | comment | added | DRG | Thanks guys - You're absolutely right re: b function - stupid oversight on my part! p is essentially steady state, and even though I have a analytical function for this case, so I may implement that. Regarding espirit's observation - this is absolutely correct but I'm not sure how to work around it. I've expanded on this under Michael E2's excellent answer. Thanks again folks - really helpful for a newb! | |
| Mar 9, 2014 at 1:22 | answer | added | Michael E2 | timeline score: 3 | |
| Mar 8, 2014 at 14:47 | comment | added | bobthechemist | Two clarifications: (1) It looks like p reaches a steady state around t = 10. Is there a reason why t -> 14400 is needed in the analysis? (2) Can you take another look at the data you posted? It is only one column and it's not clear to me what it is. | |
| Mar 8, 2014 at 13:56 | comment | added | bobthechemist | One problem I see is that you are using the your parametric function b incorrectly; it takes on the form b[kme, kmn, j, qm, eo] and you are using b[r,t]. | |
| Mar 8, 2014 at 3:01 | comment | added | qwerty | There seems a discordance between Ox[r, 0] == 0 and Ox[ro, t] == po in your boundary conditions. | |
| Mar 7, 2014 at 15:58 | comment | added | DRG | I should also point out similar error message EVEN if you specify every parameter bar one; for example if I specify j, kmn, eo and qm, with only parameter kme I get; ParametricNDSolve::fpct: Too many parameters in {kme} to be filled from {r,t} | |
| Mar 7, 2014 at 14:36 | history | asked | DRG | CC BY-SA 3.0 |