MathWorks Support Team in MATLAB Answers
Last activity on 30 Jan 2024

SimBiology Model Analyzer の Fit Data タスクを実行すると、 Integration Tolerance Not Met のエラーが発生します。回避方法を教えてください。 kA031000000TCuvCAG 000068315
MathWorks Support Team in MATLAB Answers
Last activity on 11 Jan 2024

I am running a Fit Data task in Simbiology for a two step model: L + A <---> LA LA + BG <---> C The reaction rate for the two reactions are respectively: kon1*A*L - koff1*LA kon2*LA*BG - koff2*C I am using the concentration of C as my independent / response variable and time as my dependent / predictor variable to estimate the parameter "kon2"; the other three parameters are known. Every time I run the simulation, I get the following error: Integration Tolerance Not Met I have tried changing i) the initial value of "kon2", ii) the tolerance and number of iterations, and iii) the solver used to estimate the parameter, to no avail. What could be causing this error and how can I resolve this? kA031000000TCuvCAG 000068315
Yash Jawale in MATLAB Answers
Last activity on 19 Aug 2019

I have built a model in SimBiology. I works fine say, if time is 1250 seconds. But it gives "Integration Tolerance Not Met" error at 10^-3 sec if time is increased to 1500 sec. I am using "ode15s (stiff/NDE)" solver with default settings.
Kaitlyn Minchella in MATLAB Answers
Last activity on 4 Aug 2017

I'm receiving this error when trying to simulate my model after using s sbioaccelerate using some dose objects, but not others: Error using SBCompiler.SimulationObject/simulate Integration Tolerance Not Met. Error in sbiosimulate (line 140) [t, x] = simobj.simulate(mobj, cs, variants, doses); I can simulate the model fine before using simbioaccelerate. I am receiving these warnings as well, and I know which equations they are coming from. Although, The equations shouldnt be producing complex numbers. The right-hand side of the system of SimBiology ODEs results in complex numbers. The imaginary part of the result will be ignored. The repeated assignment rules of the SimBiology model result in complex numbers. The imaginary part of the result will be ignored. I'm not sure what sbioaccelerate could be doing that is causing this; any help on how to troubleshoot this would be appreciated.