1 #ifndef SimTK_SIMMATH_OPTIMIZER_H_     2 #define SimTK_SIMMATH_OPTIMIZER_H_    74                         numEqualityConstraints(0),
    75                         numInequalityConstraints(0),
    76                         numLinearEqualityConstraints(0),
    77                         numLinearInequalityConstraints(0),
    85         setNumParameters(nParameters);
    99                                  bool new_parameters, 
Real& f )
 const {
   106                                  bool new_parameters, 
Vector &gradient )
 const  {
   112                                  bool new_parameters, 
Vector & constraints )
 const {
   118                                   bool new_parameters, 
Matrix& jac )
 const {
   124                                  bool new_parameters, 
Vector &gradient)
 const {
   130        if(   nParameters < 1 ) {
   131            const char* where = 
" OptimizerSystem  Constructor";
   132            const char* szName = 
"number of parameters";
   135            numParameters = nParameters;
   141            const char* where = 
" OptimizerSystem  setNumEqualityConstraints";
   142            const char* szName = 
"number of equality constraints";
   145            numEqualityConstraints = n;
   151            const char* where = 
" OptimizerSystem  setNumInequalityConstraints";
   152            const char* szName = 
"number of inequality constraints";
   155            numInequalityConstraints = n;
   160        if( n < 0 || n > numEqualityConstraints ) {
   161            const char* where = 
" OptimizerSystem  setNumLinearEqualityConstraints";
   162            const char* szName = 
"number of linear equality constraints";
   165            numLinearEqualityConstraints = n;
   170        if( n < 0 || n > numInequalityConstraints ) {
   171            const char* where = 
" OptimizerSystem  setNumLinearInequalityConstraints";
   172            const char* szName = 
"number of linear inequality constraints";
   175            numLinearInequalityConstraints = n;
   180        if(   upper.
size() != numParameters  && upper.
size() != 0) {
   181            const char* where = 
" OptimizerSystem  setParametersLimits";
   182            const char* szName = 
"upper limits length";
   185        if(   lower.
size() != numParameters  && lower.
size() != 0 ) {
   186            const char* where = 
" OptimizerSystem  setParametersLimits";
   187            const char* szName = 
"lower limits length";
   197        if( upper.
size() == 0 ) {
   200           lowerLimits = 
new Vector( lower );
   201           upperLimits = 
new Vector( upper );
   230         *lower = &(*lowerLimits)[0];
   231         *upper = &(*upperLimits)[0];
   236    int numEqualityConstraints;
   237    int numInequalityConstraints;
   238    int numLinearEqualityConstraints;
   239    int numLinearInequalityConstraints;
   433     void setConvergenceTolerance(
Real accuracy );
   436     void setConstraintTolerance(
Real tolerance);
   444     void setMaxIterations( 
int iter );
   447     void setLimitedMemoryHistory( 
int history );
   449     void setDiagnosticsLevel( 
int level ); 
   455     bool setAdvancedStrOption( 
const char *option, 
const char *value );
   457     bool setAdvancedRealOption( 
const char *option, 
const Real value );
   459     bool setAdvancedIntOption( 
const char *option, 
const int value );
   461     bool setAdvancedBoolOption( 
const char *option, 
const bool value );
   463     bool setAdvancedVectorOption( 
const char *option, 
const Vector value );
   499     void useNumericalGradient(
bool flag, 
   513     void useNumericalJacobian(
bool flag, 
   523     bool isUsingNumericalGradient() 
const;
   525     bool isUsingNumericalJacobian() 
const;
   527     Real getEstimatedAccuracyOfObjective() 
const;
   529     Real getEstimatedAccuracyOfConstraints() 
const;
   538     const OptimizerRep& getRep()
 const {assert(rep); 
return *rep;}
   549 #endif //SimTK_SIMMATH_OPTIMIZER_H_ LBFGS with simple bound constraints; gradient descent. 
Definition: Optimizer.h:51
 
Definition: Exception.h:205
 
void setNumParameters(const int nParameters)
Sets the number of parameters in the objective function. 
Definition: Optimizer.h:129
 
Limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm; gradient descent. 
Definition: Optimizer.h:48
 
Simmath will select best Optimizer based on problem type. 
Definition: Optimizer.h:42
 
void setParameterLimits(const Vector &lower, const Vector &upper)
Set the upper and lower bounds on the parameters. 
Definition: Optimizer.h:179
 
bool getHasLimits() const
Returns true if there are limits on the parameters. 
Definition: Optimizer.h:225
 
void setNumEqualityConstraints(const int n)
Sets the number of equality constraints. 
Definition: Optimizer.h:139
 
API for SimTK Simmath's optimizers. 
Definition: Optimizer.h:421
 
This is the top-level SimTK namespace into which all SimTK names are placed to avoid collision with o...
Definition: Assembler.h:37
 
int getNumLinearInequalityConstraints() const
Returns the number of linear inequality constraints. 
Definition: Optimizer.h:220
 
OptimizerSystem()
Definition: Optimizer.h:73
 
int getNumEqualityConstraints() const
Returns the number of equality constraints. 
Definition: Optimizer.h:212
 
OptimizerSystem(int nParameters)
Definition: Optimizer.h:83
 
Definition: SimTKmath/include/simmath/internal/common.h:122
 
Definition: OptimizerRep.h:63
 
SimTK_Real Real
This is the default compiled-in floating point type for SimTK, either float or double. 
Definition: SimTKcommon/include/SimTKcommon/internal/common.h:606
 
Definition: Exception.h:175
 
Definition: Exception.h:190
 
int getNumConstraints() const
Returns the total number of constraints. 
Definition: Optimizer.h:210
 
void setNumInequalityConstraints(const int n)
Sets the number of inequality constraints. 
Definition: Optimizer.h:149
 
int getNumNonlinearEqualityConstraints() const
Returns the number of nonlinear equality constraints. 
Definition: Optimizer.h:218
 
Includes internal headers providing declarations for the basic SimTK Core classes, including Simmatrix. 
 
#define SimTK_THROW2(exc, a1, a2)
Definition: Exception.h:318
 
An algorithm that is implemented outside of Simmath. 
Definition: Optimizer.h:63
 
#define SimTK_THROW5(exc, a1, a2, a3, a4, a5)
Definition: Exception.h:324
 
virtual int hessian(const Vector ¶meters, bool new_parameters, Vector &gradient) const
Computes Hessian of the objective function; return 0 when successful. 
Definition: Optimizer.h:123
 
C implementation of sequential quadratic programming (requires external library: ftp://frcatel.fri.uniza.sk/pub/soft/math/matprog/doc/fsqp.html); gradient descent. 
Definition: Optimizer.h:56
 
Method
Definition: Differentiator.h:92
 
#define SimTK_THROW3(exc, a1, a2, a3)
Definition: Exception.h:320
 
virtual int objectiveFunc(const Vector ¶meters, bool new_parameters, Real &f) const
Objective/cost function which is to be optimized; return 0 when successful. 
Definition: Optimizer.h:98
 
This is the header file that every Simmath compilation unit should include first. ...
 
void getParameterLimits(Real **lower, Real **upper) const
Returns the limits on the allowed values of each parameter, as an array of lower bounds and an array ...
Definition: Optimizer.h:229
 
This is the header file that user code should include to pick up the SimTK Simmath numerical differen...
 
const Real SignificantReal
SignificantReal is the smallest value that we consider to be clearly distinct from roundoff error whe...
 
virtual int constraintJacobian(const Vector ¶meters, bool new_parameters, Matrix &jac) const
Computes Jacobian of the constraints; return 0 when successful. 
Definition: Optimizer.h:117
 
Vector_< Real > Vector
Variable-size column vector of Real elements; abbreviation for Vector_<Real>. 
Definition: BigMatrix.h:1473
 
Abstract class which defines an objective/cost function which is optimized by and Optimizer object...
Definition: Optimizer.h:71
 
int size() const
Definition: VectorBase.h:396
 
int getNumParameters() const
Returns the number of parameters, that is, the number of variables that the Optimizer may adjust whil...
Definition: Optimizer.h:208
 
IpOpt algorithm (https://projects.coin-or.org/ipopt); gradient descent. 
Definition: Optimizer.h:45
 
int getNumLinearEqualityConstraints() const
Returns the number of linear equality constraints. 
Definition: Optimizer.h:216
 
int getNumNonlinearInequalityConstraints() const
Returns the number of linear inequality constraints. 
Definition: Optimizer.h:222
 
Definition: Exception.h:248
 
virtual int constraintFunc(const Vector ¶meters, bool new_parameters, Vector &constraints) const
Computes the value of the constraints; return 0 when successful. 
Definition: Optimizer.h:111
 
void setNumLinearEqualityConstraints(const int n)
Sets the number of lineaer equality constraints. 
Definition: Optimizer.h:159
 
virtual ~OptimizerSystem()
Definition: Optimizer.h:88
 
Definition: Optimizer.h:61
 
OptimizerAlgorithm
The available Optimizer algorithms. 
Definition: Optimizer.h:40
 
Covariance matrix adaptation, evolution strategy (https://github.com/cma-es/c-cmaes); this is a rando...
Definition: Optimizer.h:60
 
#define SimTK_THROW4(exc, a1, a2, a3, a4)
Definition: Exception.h:322
 
#define SimTK_SIMMATH_EXPORT
Definition: SimTKmath/include/simmath/internal/common.h:64
 
virtual int gradientFunc(const Vector ¶meters, bool new_parameters, Vector &gradient) const
Computes the gradient of the objective function; return 0 when successful. 
Definition: Optimizer.h:105
 
int getNumInequalityConstraints() const
Returns the number of inequality constraints. 
Definition: Optimizer.h:214
 
void setNumLinearInequalityConstraints(const int n)
Sets the number of lineaer inequality constraints. 
Definition: Optimizer.h:169