--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/m-toolbox/classes/@ssm/optimiseForFitting.m	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,131 @@
+% OPTIMISEFORFITTING reduces the system matrices to doubles and strings.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+%
+% DESCRIPTION: OPTIMISEFORFITTING reduces the system matrices to doubles
+%              and strings.
+%
+% CALL:        [ssm] = optimiseForFitting(ssm, pl);
+%
+% INPUTS :
+%             ssm     - a ssm object
+%                  pl - an option plist
+%
+%
+% OUTPUTS:
+%           The output array are of size Nsys*Noptions
+%           sys_out -  (array of) ssm objects without the specified information
+%
+%
+% <a href="matlab:utils.helper.displayMethodInfo('ssm', 'simplify')">Parameters Description</a>
+%
+% VERSION: $Id: optimiseForFitting.m,v 1.4 2011/04/08 08:56:23 hewitson Exp $
+% 
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function varargout = optimiseForFitting(varargin)
+  
+  import utils.const.*
+  utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
+  %% starting initial checks
+  
+  % Check if this is a call for parameters
+  if utils.helper.isinfocall(varargin{:})
+    varargout{1} = getInfo(varargin{3});
+    return
+  end
+  
+  % Collect input variable names
+  in_names = cell(size(varargin));
+  for ii = 1:nargin,in_names{ii} = inputname(ii);end
+  
+  % Collect all SSMs and plists
+  [sys, ssm_invars, rest] = utils.helper.collect_objects(varargin(:), 'ssm', in_names);
+  [pl, invars2, rest]  = utils.helper.collect_objects(rest(:), 'plist');
+  if ~isempty(rest)
+    pl = combine(pl, plist(rest{:}));
+  end
+  pl = combine(pl, getDefaultPlist);
+  
+  Nsys     = numel(sys);
+  if Nsys ~= 1
+    error('### Please input (only) one SSM model');
+  end
+  
+  % Decide on a deep copy or a modify, depending on the output
+  sys = copy(sys, nargout);
+  
+  %% begin function body
+  
+  % Loop over input systems
+  for i_sys=1:Nsys
+        
+    % amats
+    for kk=1:numel(sys(i_sys).amats)
+      sys(i_sys).amats{kk} = simplifyMatrix(sys(i_sys).amats{kk});
+    end
+    
+    % bmats
+    for kk=1:numel(sys(i_sys).bmats)
+      sys(i_sys).bmats{kk} = simplifyMatrix(sys(i_sys).bmats{kk});
+    end
+    
+    % cmats
+    for kk=1:numel(sys(i_sys).cmats)
+      sys(i_sys).cmats{kk} = simplifyMatrix(sys(i_sys).cmats{kk});
+    end
+    
+    % dmats
+    for kk=1:numel(sys(i_sys).dmats)
+      sys(i_sys).dmats{kk} = simplifyMatrix(sys(i_sys).dmats{kk});
+    end    
+    
+    sys(i_sys).clearAllUnits;
+    sys(i_sys).clearNumParams;
+    
+    % updating size fields
+    sys(i_sys).addHistory(getInfo('None'), pl , ssm_invars(i_sys), sys(i_sys).hist );
+  end
+  
+  if nargout == numel(sys)
+    for ii = 1:numel(sys)
+      varargout{ii} = sys(ii);
+    end
+  else
+    varargout{1} = sys;
+  end
+end
+
+
+function m = simplifyMatrix(m)
+  try
+    m = eval(m);
+  end
+  if ~isnumeric(m)
+    m = char(m);
+  end
+end
+
+%--------------------------------------------------------------------------
+% Get Info Object
+%--------------------------------------------------------------------------
+function ii = getInfo(varargin)
+  
+  if nargin == 1 && strcmpi(varargin{1}, 'None')
+    sets = {};
+    pl   = [];
+  else
+    sets = {'Default'};
+    pl   = getDefaultPlist;
+  end
+  % Build info object
+  ii = minfo(mfilename, 'ssm', 'ltpda', utils.const.categories.op, '$Id: optimiseForFitting.m,v 1.4 2011/04/08 08:56:23 hewitson Exp $', sets, pl);
+end
+
+%--------------------------------------------------------------------------
+% Get Default Plist
+%--------------------------------------------------------------------------
+function pl = getDefaultPlist()
+  pl = plist();  
+end
+