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5 A Simple Example
To compile the following code, in
test.m.
% ----------------------------------------------------------------
function f = test
probfile = 'con_prob';
probNumber = 10;
ask = [];
Prob = [];
Prob = probInit(probfile, probNumber, ask, Prob);
Result = conSolve(Prob);
PrintResult(Result);
f = Result.f_k;
% ----------------------------------------------------------------
with a TOMLAB /SOL license (which means that QPOPT is chosen as the
QP subsolver in conSolve), the profiler and a little
trial-and-error will show that the following m-files are needed:
BoundInit.m LineSearch.m SOLGet.m
ComputeQR.m LinearConstr.m SOLSet.m
CreateProbQP.m NonlinConstr.m StateDef.m
DefPar.m PrintResult.m checkType.m
GetSolver.m ProbCheck.m conProbSet.m
LagMult.m ProbDef.m conSolve.m
LineParamDef.m ProbGate.m conVarDef.m
LineParamSet.m ResultDef.m con_H.m
con_c.m defblbu.m nlp_dc.m
con_d2c.m endSolve.m nlp_f.m
con_dc.m globalGet.m nlp_g.m
con_f.m globalSave.m optParamDef.m
con_fm.m iniSolve.m optParamSet.m
con_g.m mFiles.m probInit.m
con_gm.m nlp_H.m qpProbSet.m
con_prob.m nlp_c.m qpVarDef.m
qp_Hess.m test.m
qp_f.m tomSolve.m
qp_fX.m tomlabVersion.m
qp_g.m xnargin.m
qp_gX.m xprint.m
qp_H.m xprinte.m
qp_prob.m xxx_prob.m
qpoptTL.m
and these dll's:
qpopt.dll tomlablic.dll tomsol.dll
The compile command to execute is:
mcc -m test.m qpopt.dll tomsol.dll tomlablic.dll ...
con_prob con_f con_g con_H con_c con_dc con_d2c qp_f qp_g
qp_H
Notice how a number of m-files must be named here. If not, upon
execution there will be errors like:
ERROR: Reference to unknown function 'qp_f' from nargin in stand-alone mode.
Still, there may be warnings about missing functions, however this
is not a problem if one has checked which m-files are needed for the
application to work. An alternative is to compile all TOMLAB m-files,
but thereby increasing both size and compile time.
The example should run fine:
>> ! test.exe
===== * * * =================================================================== * * *
TOMLAB SOL - stand-alone test license
=====================================================================================
Problem: con_prob - 10: Schittkowski 66. Eckhardt f_k 0.518163274278335420
User given f(x_*) 0.518163274099999960
sum(|constr|) 0.000000000003534950
f(x_k) + sum(|constr|) 0.518163274281870370
f(x_0) 0.579999999999999960
Solver: conSolve. EXIT=0. INFORM=1.
Schittkowski SQP algorithm, analytic Hessian
Optimal solution found
Iteration points are close
FuncEv 66 GradEv 66 ConstrEv 66 Iter 43
CPU time: 0.375000 sec. Elapsed time: 0.375000 sec.
Starting vector x:
x_0: 0.000000 1.050000 2.900000
Optimal vector x:
x_k: 0.184116 1.202155 3.327280
User given stationary point x_* (1): - Minimum point
x_*: 0.184126 1.202168 3.327322
Lagrange multipliers v. Vector length 5:
v_k: 0.000000e+000 0.000000e+000 0.000000e+000 6.654713e-001 2.000045e-001
Gradient g_k:
g_k: -8.000000e-001 0.000000e+000 2.000000e-001
cErr -6.852297e-013 -2.849720e-012
Projected gradient gPr:
gPr: -1.006538e-006 -1.210015e-006 -4.026060e-006
NonLLow 1 NonLLow 2
v: 6.654706e-001 2.000040e-001
=== * * * ================================================== * * *
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