PlayaObjectiveBase.hpp
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00002 // ************************************************************************
00003 // 
00004 //                 Playa: Programmable Linear Algebra
00005 //                 Copyright 2012 Sandia Corporation
00006 // 
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00009 //
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00011 // modification, are permitted provided that the following conditions are
00012 // met:
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00014 // 1. Redistributions of source code must retain the above copyright
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00016 //
00017 // 2. Redistributions in binary form must reproduce the above copyright
00018 // notice, this list of conditions and the following disclaimer in the
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00020 //
00021 // 3. Neither the name of the Corporation nor the names of the
00022 // contributors may be used to endorse or promote products derived from
00023 // this software without specific prior written permission.
00024 //
00025 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
00026 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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00038 // 
00039 
00040 /* @HEADER@ */
00041 
00042 
00043 #ifndef PLAYA_OBJECTIVE_BASE_H
00044 #define PLAYA_OBJECTIVE_BASE_H
00045 
00046 #include "PlayaDefs.hpp"
00047 #include "PlayaVectorDecl.hpp"
00048 #include "PlayaObjectWithVerbosity.hpp"
00049 
00050 #ifndef HAVE_TEUCHOS_EXPLICIT_INSTANTIATION
00051 #include "PlayaVectorImpl.hpp"
00052 #endif
00053 
00054 
00055 
00056 
00057 namespace Playa
00058 {
00059 /**
00060  * Base class for differentiable objective functions.
00061  * @author Paul Boggs and Kevin Long
00062  *
00063  */
00064 class ObjectiveBase : public ObjectWithVerbosity,
00065                       public Describable
00066 {
00067 public:
00068   /** */
00069   ObjectiveBase(int verb=0) : ObjectWithVerbosity(verb), contextString_() {;}
00070 
00071   /** virtual dtor */
00072   virtual ~ObjectiveBase(){;}
00073 
00074   /** evaluate objective function and gradient */
00075   virtual void  evalGrad(const Vector<double>& x, double& f, 
00076     Vector<double>& grad) const = 0;
00077 
00078   /** evaluate objective function without gradient. */
00079   virtual void  eval(const Vector<double>& x, double& f) const = 0 ;
00080 
00081   /** return an initial guess for the design vector  */
00082   virtual Vector<double> getInit() const = 0;
00083 
00084   /** return an initial approximation to the scale for the 
00085    * inverse of the Hessian */
00086   virtual double getInvHScale() const {return 1.0;}
00087 
00088   /** User-overrideable hook for any callbacks to be done at the 
00089    * end of each iteration. Default is a no-op.  */
00090   virtual void iterationCallback(const Vector<double>& x, int iter) const {;}
00091 
00092   /** User-overrideable hook for any callbacks to be done at the 
00093    * end of an optimization loop. Default is a no-op.  */
00094   virtual void finalCallback(const Vector<double>& x) const {;}
00095 
00096   /** 
00097    * Set a string describing the context in which the function is being called.
00098    * This is intended to aid in reading diagnostic output. 
00099    */
00100   void setContextString(const string& str) const {contextString_ = str;}
00101 
00102   /** 
00103    * Set a string describing the context in which the function is being called.
00104    * This is intended to aid in reading diagnostic output. 
00105    */
00106   const string& contextString() const {return contextString_;}
00107 
00108   /** 
00109    * Return the number of evaluations
00110    */
00111   virtual int numFuncEvals() const {return -1;}
00112 
00113   /** 
00114    *
00115    */
00116   virtual string description() const {return "ObjectiveBase";}
00117 
00118   /** Debugging utility to check the gradient 
00119    * by comparing to a finite difference 
00120    * gradient calculation. This is will be expensive. */
00121   bool fdCheck(const Vector<double>& x, double tol, int verbosity=0) const ;
00122 
00123 protected:
00124   /** */
00125   virtual double fdStep() const {return 1.0e-4;}
00126 
00127 
00128 private:
00129   mutable string contextString_;
00130 };
00131 
00132 }
00133 
00134 #endif

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