Aidin Biibosunov

@dvorak0 , could you please share the code?

@FFroehlich, yes, the posteq_status is -4; 1; 0 (for both cases: forward & adjoint)

@FFroehlich , it did not help Here is the script: ``` clc clear close all %% get tuned parameters load parameter_Set_healthy_ini_cond_SS_SCRNA_new p = exp(parameters.MS.par(:,1)); % exp bc they are in...

@FFroehlich , unfortunately not Here are the PEtab tables: - [parameters_modelDef_PK_1C_constr_2.csv](https://github.com/AMICI-dev/AMICI/files/15183327/parameters_modelDef_PK_1C_constr_2.csv) - [experimental_conditions_modelDef_PK_1C_constr_2.csv](https://github.com/AMICI-dev/AMICI/files/15183337/experimental_conditions_modelDef_PK_1C_constr_2.csv) - [measurement_table_PK_1C.csv](https://github.com/AMICI-dev/AMICI/files/15183339/measurement_table_PK_1C.csv) - [observables_modelDef_PK_1C_constr_2.csv](https://github.com/AMICI-dev/AMICI/files/15183340/observables_modelDef_PK_1C_constr_2.csv) - [problem_PK_1C_constr_2.txt](https://github.com/AMICI-dev/AMICI/files/15183354/problem_PK_1C_constr_2.txt) This is related to https://github.com/ICB-DCM/pyPESTO/issues/1334

@dweindl , thank you, I see. Then there is no way to specify parameter constraints for parameter estimation. For example, if I have a parameter vector: (p1, p2, p3, p4)....

@FFroehlich, that's what I did before. Actually, this brought me to this InitialAssignment issue Please, see https://github.com/ICB-DCM/pyPESTO/issues/1334

@PaulJonasJost , @dilpath , thank you very much for your reply > Should the 89 parameters that a condition specific be independent of each other? You would probably need to...

> - You have measurements for both Healthy and Patient at one timepoint (not necessarily the same for both conditions) > - The measurement is assumed to be taken in...

@dilpath , aha I see But what about the objective function It will be by default: objective function = J_healthy + J_patient ? Or I need to write my own...

@dilpath , could you please have a look at the tables - [experimental_conditions_HP.csv](https://github.com/ICB-DCM/pyPESTO/files/13363996/experimental_conditions_HP.csv) - [measurement_table_HP.csv](https://github.com/ICB-DCM/pyPESTO/files/13363998/measurement_table_HP.csv)