📄 quaoptima.hh
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//============================================================// COOOL version 1.1 --- Nov, 1995// Center for Wave Phenomena, Colorado School of Mines//============================================================//// This code is part of a preliminary release of COOOL (CWP// Object-Oriented Optimization Library) and associated class // libraries. //// The COOOL library is a free software. You can do anything you want// with it including make a fortune. However, neither the authors,// the Center for Wave Phenomena, nor anyone else you can think of// makes any guarantees about anything in this package or any aspect// of its functionality.//// Since you've got the source code you can also modify the// library to suit your own purposes. We would appreciate it // if the headers that identify the authors are kept in the // source code.//#ifndef QUADRATIC_OPTIMA_HH#define QUADRATIC_OPTIMA_HH#include "Optima.hh"#include <LinForward.hh>#include <MisFit.hh>//==================//define the base class for quadratic optimization classes// H. Lydia Deng, 03/04/94//======================//@Man://@Memo: a base class of optimization algorithm/*@Doc: This is the base class for linear solvers included in COOOL. These are used to solved optimizations having quadratic objective function. Classes derived from this class inherit features of QuadraticOptima. This class cannot be instantiated directly. QuadraticOptima currently only takes Models either double or long integer. It is mostly because I tried to avoid using templates, due to the guliness of template features in G++. Hopefully, this could be changed soon.*/class QuadraticOptima : public Optima { public: //@ManMemo: a constructor QuadraticOptima(/// dimension of Model space int n, /// pointer to the LinearForward operator (matrix) LinearForward* lp, /// pointer to the observed data vector Vector<double>* data, /// verbose or quiet int verb); //@ManMemo: a constructor QuadraticOptima(int n, LinearForward* lp, Vector<double>* data); virtual ~QuadraticOptima(); virtual Model<double> optimizer(Model<double>&) = 0; virtual Model<long> optimizer(Model<long>&) = 0; //@ManMemo: number of objective function evaluations virtual int numIterations() {return ((MisFitFcn*)fp)->iterations();} //@ManMemo: get error at the current stage Vector<double> currentError() {return ((MisFitFcn*)fp)->currentError();} Vector<double> finalError() { return 0;}};#endif
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