60 nlp.
subjectTo( y1*y1+y2*y2+y3*y3 <= 4.0 );
73 algorithm.
getWeights(
"scalar3_ws_weights.txt");
returnValue print(std::ostream &stream=std::cout, const char *const name=DEFAULT_LABEL, const char *const startString=DEFAULT_START_STRING, const char *const endString=DEFAULT_END_STRING, uint width=DEFAULT_WIDTH, uint precision=DEFAULT_PRECISION, const char *const colSeparator=DEFAULT_COL_SEPARATOR, const char *const rowSeparator=DEFAULT_ROW_SEPARATOR) const
virtual returnValue solve()
DMatrix getWeights() const
#define USING_NAMESPACE_ACADO
Provides a time grid consisting of vector-valued optimization variables at each grid point...
returnValue subjectTo(const DifferentialEquation &differentialEquation_)
returnValue minimize(const Expression &arg)
returnValue set(OptionsName name, int value)
Data class for defining static optimization problems.
returnValue getParetoFront(VariablesGrid &paretoFront) const
User-interface to formulate and solve optimal control problems with multiple objectives.