pinene.gms : Isometrization of alpha-pinene COPS 2.0 #5

**Description**

Determine the reaction coefficients in the thermal isometrization of alpha-pinene. This model is from the COPS benchmarking suite. See <a href="http://www-unix.mcs.anl.gov/~more/cops/.">http://www-unix.mcs.anl.gov/~more/cops/.</a> The number of discretization points can be specified using the command line parameter --nh. COPS performance tests have been reported for nh = 25, 50, 100, 200

**References**

- Dolan, E D, and More, J J, Benchmarking Optimization Software with COPS. Tech. rep., Mathematics and Computer Science Division, 2000.
- Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
- Tjoa, I B, and Biegler, L T, Simultaneous Solution and Optimization Strategies for Parameter Estimation of Differential-Algebraic Equations Systems. Industrial and Engineering Chemistry Research 30, 2 (1991), 376-385.
- Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.
- Ascher, U M, Mattheij, R M M, and Russell, R D, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. SIAM, 1995.

**Large Model of Type :** NLP

**Category :** GAMS Model library

**Main file :** pinene.gms **includes :** copspart.inc

$Title Isometrization of alpha-pinene COPS 2.0 #5 (PINENE,SEQ=233) $ontext Determine the reaction coefficients in the thermal isometrization of alpha-pinene. This model is from the COPS benchmarking suite. See http://www-unix.mcs.anl.gov/~more/cops/. The number of discretization points can be specified using the command line parameter --nh. COPS performance tests have been reported for nh = 25, 50, 100, 200 Dolan, E D, and More, J J, Benchmarking Optimization Software with COPS. Tech. rep., Mathematics and Computer Science Division, 2000. Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51. Tjoa, I B, and Biegler, L T, Simultaneous Solution and Optimization Strategies for Parameter Estimation of Differential-Algebraic Equations Systems. Ind. Eng. Chem. Res. 30 (1991), 376-385. Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992. Ascher, U M, Mattheij, R M M, and Russell, R D, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. SIAM, 1995. $offtext $if set n $set nh %n% $if not set nh $set nh 50 Set ne differential equations /ne1*ne5/ np ODE parameters /np1*np5/ nc collocation points /nc1*nc3/ nh partition intervals /nh1*nh%nh%/ nm measurements /1*8/; Parameter bc(ne) ODE initial conditions / ne1 100, (ne2*ne5) 0/ tau(nm) times at which observations made / 1 1230.0, 2 3060.0, 3 4920.0, 4 7800.0, 5 10680.0, 6 15030.0, 7 22620.0, 8 36420.0 /; Table z(nm,ne) observation ne1 ne2 ne3 ne4 ne5 1 88.35 7.3 2.3 0.4 1.75 2 76.4 15.6 4.5 0.7 2.8 3 65.1 23.1 5.3 1.1 5.8 4 50.4 32.9 6.0 1.5 9.3 5 37.5 42.7 6.0 1.9 12.0 6 25.9 49.1 5.9 2.2 17.0 7 14.0 57.4 5.1 2.6 21.0 8 4.5 63.1 3.8 2.9 25.7 ; $batinclude copspart.inc nc3 8 Positive variable theta(np) ODE parameters; Equations collocation_eqn1(nh,nc) collocation_eqn2(nh,nc) collocation_eqn3(nh,nc) collocation_eqn4(nh,nc) collocation_eqn5(nh,nc); collocation_eqn1(i,j).. Duc[i,j,'ne1'] =e= - (theta['np1']+theta['np2'])*uc[i,j,'ne1']; collocation_eqn2(i,j).. Duc[i,j,'ne2'] =e= theta['np1']*uc[i,j,'ne1']; collocation_eqn3(i,j).. Duc[i,j,'ne3'] =e= theta['np2']*uc[i,j,'ne1'] - (theta['np3']+theta['np4'])*uc[i,j,'ne3'] + theta['np5']*uc[i,j,'ne5']; collocation_eqn4(i,j).. Duc[i,j,'ne4'] =e= theta['np3']*uc[i,j,'ne3']; collocation_eqn5(i,j).. Duc[i,j,'ne5'] =e= theta['np4']*uc[i,j,'ne3'] - theta['np5']*uc[i,j,'ne5']; model pinene /all/; v.fx['nh1',s] = bc(s); $if set workspace pinene.workspace = %workspace%; solve pinene minimizing obj using nlp;