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xxxxxxxxxx//# LinearModel.h: this defines LinearModel//# Copyright (C) 1996,1997,1998,1999//# Associated Universities, Inc. Washington DC, USA.//#//# This library is free software; you can redistribute it and/or modify it//# under the terms of the GNU Library General Public License as published by//# the Free Software Foundation; either version 2 of the License, or (at your//# option) any later version.//#//# This library is distributed in the hope that it will be useful, but WITHOUT//# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or//# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Library General Public//# License for more details.//#//# You should have received a copy of the GNU Library General Public License//# along with this library; if not, write to the Free Software Foundation,//# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA.//#//# Correspondence concerning AIPS++ should be addressed as follows://# Internet email: aips2-request@nrao.edu.//# Postal address: AIPS++ Project Office//# National Radio Astronomy Observatory//# 520 Edgemont Road//# Charlottesville, VA 22903-2475 USA//#//#//# $Id$namespace casa { //# NAMESPACE CASA - BEGIN//# Forward Declarations// <summary>Provides a model for use in model fitting applications</summary>// <use visibility=export>// <reviewed reviewer="" date="yyyy/mm/dd" tests="" demos="">// </reviewed>// <prerequisite> // This class should be read in conjunction with: // <li> <linkto class="LinearEquation">LinearEquation</linkto>// <li> <linkto class="ResidualEquation">ResidualEquation</linkto>// </prerequisite>//// <etymology>// LinearModel was originally conceived for providing the model, and optionally// for derived classes the iterative solution methods for linear equations// (like Ax=b) but may be more general in scope.// </etymology>//// <synopsis>// This abstract class defines the interface between a model of the sky (or// any other quantity) and the equation used to predict the measured// quantities. It provides the current best guess model, and given// measures of the discrepency between the current model and the data (as// provided by the ResidualEquation class) derived classes may be able to// solve for a better model that corresponds more closely to the measured