view m-toolbox/classes/@smodel/linearize.m @ 51:9d5c88356247
database-connection-manager
Make unit tests database connection parameters configurable
author
Daniele Nicolodi <nicolodi@science.unitn.it>
date
Wed, 07 Dec 2011 17:24:37 +0100 (2011-12-07)
parents
f0afece42f48
children
line source
+ − % LINEARIZE output the derivatives of the model relative to the parameters.
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ − %
+ − % DESCRIPTION: LINEARIZE output the derivatives of the model relative to
+ − % the parameters. Output is a collection of models corresponding to the
+ − % derivative of input model for each parameter
+ − %
+ − % CALL: dmod = linearize(imod)
+ − %
+ − % <a href="matlab:utils.helper.displayMethodInfo('smodel', 'linearize')">Parameters Description</a>
+ − %
+ − % VERSION: $Id: linearize.m,v 1.9 2011/04/08 08:56:30 hewitson Exp $
+ − %
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ − function varargout = linearize(varargin)
+ −
+ − % Check if this is a call for parameters
+ − if utils.helper.isinfocall(varargin{:})
+ − varargout{1} = getInfo(varargin{3});
+ − return
+ − end
+ −
+ − % Check if the method was called by another method
+ − callerIsMethod = utils.helper.callerIsMethod;
+ −
+ − % Collect input variable names
+ − in_names = cell(size(varargin));
+ − for ii = 1:nargin,in_names{ii} = inputname(ii);end
+ −
+ − % Collect all smodels and plists
+ − [as, smodel_invars, rest] = utils.helper.collect_objects(varargin(:), 'smodel', in_names);
+ − [pl, pl_invars, rest] = utils.helper.collect_objects(rest(:), 'plist', in_names);
+ −
+ − % Combine input plists and default plist
+ − pl = parse(pl, getDefaultPlist());
+ −
+ − % run over input smodels
+ − dmod(numel(as),1) = collection;
+ − for jj = 1:numel(as)
+ − imod = as(jj);
+ − [mpars,idx] = sort(imod.params);
+ − mvals = imod.values(idx);
+ − imod.setParams(mpars, mvals);
+ −
+ − pars = imod.params;
+ −
+ − for ii = 1:numel(pars)
+ − tmod = diff(imod, pars{ii}); % do symbolic derivative for smodel
+ − % set the name of the parameter to the matrix, this is important to
+ − % identify automatically to what derivatives we are referring
+ − tmod.setName(pars{ii});
+ − dmod(jj).addObjects(tmod);
+ − end
+ − dmod(jj).setName(sprintf('linearize(%s)', imod.name));
+ − end
+ −
+ − if ~callerIsMethod
+ − % Add history
+ − dmod.addHistory(getInfo('None'), pl, smodel_invars, [as(:).hist]);
+ − end
+ −
+ − if nargout == 1
+ − varargout{1} = dmod;
+ − elseif nargout == numel(as)
+ − % List of outputs
+ − for jj = 1:numel(as)
+ − varargout{jj} = dmod.index(jj);
+ − end
+ − else
+ − error('Set at least one output value')
+ − end
+ −
+ − end
+ −
+ − %--------------------------------------------------------------------------
+ − % Get Info Object
+ − %--------------------------------------------------------------------------
+ − function ii = getInfo(varargin)
+ −
+ − if nargin == 1 && strcmpi(varargin{1}, 'None')
+ − sets = {};
+ − pls = [];
+ − else
+ − sets = {'Default'};
+ − pls = getDefaultPlist;
+ − end
+ − % Build info object
+ − ii = minfo(mfilename, 'smodel', 'ltpda', utils.const.categories.op, '$Id: linearize.m,v 1.9 2011/04/08 08:56:30 hewitson Exp $', sets, pls);
+ − ii.setModifier(false);
+ − end
+ −
+ − %--------------------------------------------------------------------------
+ − % Get Default Plist
+ − %--------------------------------------------------------------------------
+ − function plout = getDefaultPlist()
+ − persistent pl;
+ − if ~exist('pl', 'var') || isempty(pl)
+ − pl = buildplist();
+ − end
+ − plout = pl;
+ − end
+ −
+ − function pl = buildplist()
+ − pl = plist.EMPTY_PLIST;
+ − end