optimize a modelica/optimica model by generating c code, build it and run the optimization executable.
 The only required argument is the className, while all others have some default values.
 simulate(className, [startTime], [stopTime], [numberOfIntervals], [stepSize], [tolerance], [fileNamePrefix], [options], [outputFormat], [variableFilter], [cflags], [simflags])
 Example command:


function optimize
  input TypeName className "the class that should simulated";
  input Real startTime = "<default>" "the start time of the simulation. <default> = 0.0";
  input Real stopTime = 1.0 "the stop time of the simulation. <default> = 1.0";
  input Integer numberOfIntervals = 500 "number of intervals in the result file. <default> = 500";
  input Real stepSize = 0.002 "step size that is used for the result file. <default> = 0.002";
  input Real tolerance = 1e-6 "tolerance used by the integration method. <default> = 1e-6";
  input String method = DAE.SCONST("optimization") "optimize a modelica/optimica model.";
  input String fileNamePrefix = "<default>" "fileNamePrefix. <default> = \"\"";
  input Boolean storeInTemp = false "storeInTemp. <default> = false";
  input Boolean noClean = false "noClean. <default> = false";
  input String options = "<default>" "options. <default> = \"\"";
  input String outputFormat = "mat" "Format for the result file. <default> = \"mat\"";
  input String variableFilter = ".*" "Only variables fully matching the regexp are stored in the result file. <default> = \".*\"";
  input String cflags = "<default>" "cflags. <default> = \"\"";
  input String simflags = "<default>" "simflags. <default> = \"\"";
  output String optimizationResults;
end optimize;

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