source: issm/trunk/src/m/classes/prognostic.m@ 9862

%PROGNOSTIC class definition
%
%   Usage:
%      prognostic=prognostic();

classdef prognostic
        properties (SetAccess=public) 
                 spcthickness           = modelfield('default',NaN,'marshall',true,'format','DoubleMat','mattype',1);
                 hydrostatic_adjustment = modelfield('default',0,'marshall',true,'preprocess','StringToEnum','format','Integer');
                 stabilization          = modelfield('default',0,'marshall',true,'format','Integer');
                 vertex_pairing         = modelfield('default',NaN,'marshall',true,'format','DoubleMat','mattype',3);
                 penalty_factor         = modelfield('default',0,'marshall',true,'format','Double');
        end
        methods
                function obj = prognostic(varargin) % {{{
                        switch nargin
                                case 0
                                        obj=setdefaultparameters(obj);
                                case 1
                                        in=varargin{1};
                                        if (isa(in,'numeric') & in==0),
                                                % requesting templates do nothing
                                        else
                                                error('constructor not supported');
                                        end 
                                otherwise
                                        error('constructor not supported');
                        end
                end % }}}
                function obj = setdefaultparameters(obj) % {{{

                        %first, use the defaults provided by the properties definition above. 
                        fieldnames=fields(obj);
                        for i=1:length(fieldnames),
                                fieldname=fieldnames{i};
                                obj.(fieldname)=obj.(fieldname).default;
                        end

                        %Type of stabilization to use 0:nothing 1:artificial_diffusivity 3:Discontinuous Galerkin
                        obj.stabilization=1;

                        %Factor applied to compute the penalties kappa=max(stiffness matrix)*10^penalty_factor
                        obj.penalty_factor=3;

                        %Hydrostatic adjustment
                        obj.hydrostatic_adjustment='Absolute';
                end % }}}
                function checkconsistency(obj,md,solution,analyses) % {{{

                        %Early return,
                        if ~ismember(PrognosticAnalysisEnum,analyses), return; end

                        checkfield(md,'prognostic.spcthickness','forcing',1);
                        checkfield(md,'prognostic.hydrostatic_adjustment','values',{'Absolute' 'Incremental'});
                        checkfield(md,'prognostic.stabilization','values',[0 1 3]);

                end % }}}
                function disp(obj) % {{{
                        disp(sprintf('   Prognostic solution parameters:'));
                        fielddisplay(obj,'spcthickness','thickness constraints (NaN means no constraint)');
                        fielddisplay(obj,'hydrostatic_adjustment','adjustment of ice shelves surface and bed elevations: ''Incremental'' or ''Absolute'' ');
                        fielddisplay(obj,'stabilization','0->no, 1->artificial_diffusivity, 3->discontinuous Galerkin');

                        disp(sprintf('\n      %s','Penalty options:'));
                        fielddisplay(obj,'penalty_factor','offset used by penalties: penalty = Kmax*10^offset');
                        fielddisplay(obj,'vertex_pairing','pairs of vertices that are penalized');

                end % }}}
        end
end