Mercurial > hg > ltpda

annotate m-toolbox/classes/@ssm/optimiseForFitting.m @ 7:1e91f84a4be8 database-connection-manager

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Make ltpda_up.retrieve work with java.sql.Connection objects
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % OPTIMISEFORFITTING reduces the system matrices to doubles and strings.
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 %
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5 % DESCRIPTION: OPTIMISEFORFITTING reduces the system matrices to doubles
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6 % and strings.
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7 %
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8 % CALL: [ssm] = optimiseForFitting(ssm, pl);
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9 %
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10 % INPUTS :
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11 % ssm - a ssm object
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12 % pl - an option plist
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13 %
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14 %
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15 % OUTPUTS:
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16 % The output array are of size Nsys*Noptions
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17 % sys_out - (array of) ssm objects without the specified information
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18 %
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19 %
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20 % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'simplify')">Parameters Description</a>
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21 %
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22 % VERSION: $Id: optimiseForFitting.m,v 1.4 2011/04/08 08:56:23 hewitson Exp $
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23 %
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24 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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25
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26 function varargout = optimiseForFitting(varargin)
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27
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28 import utils.const.*
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29 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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30 %% starting initial checks
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31
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32 % Check if this is a call for parameters
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33 if utils.helper.isinfocall(varargin{:})
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34 varargout{1} = getInfo(varargin{3});
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35 return
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36 end
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37
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38 % Collect input variable names
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39 in_names = cell(size(varargin));
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40 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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41
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42 % Collect all SSMs and plists
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43 [sys, ssm_invars, rest] = utils.helper.collect_objects(varargin(:), 'ssm', in_names);
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44 [pl, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist');
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45 if ~isempty(rest)
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46 pl = combine(pl, plist(rest{:}));
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47 end
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48 pl = combine(pl, getDefaultPlist);
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49
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50 Nsys = numel(sys);
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51 if Nsys ~= 1
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52 error('### Please input (only) one SSM model');
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53 end
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54
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55 % Decide on a deep copy or a modify, depending on the output
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56 sys = copy(sys, nargout);
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57
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58 %% begin function body
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59
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60 % Loop over input systems
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61 for i_sys=1:Nsys
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62
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63 % amats
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64 for kk=1:numel(sys(i_sys).amats)
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65 sys(i_sys).amats{kk} = simplifyMatrix(sys(i_sys).amats{kk});
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66 end
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67
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68 % bmats
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69 for kk=1:numel(sys(i_sys).bmats)
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70 sys(i_sys).bmats{kk} = simplifyMatrix(sys(i_sys).bmats{kk});
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71 end
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72
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73 % cmats
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74 for kk=1:numel(sys(i_sys).cmats)
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75 sys(i_sys).cmats{kk} = simplifyMatrix(sys(i_sys).cmats{kk});
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76 end
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77
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78 % dmats
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79 for kk=1:numel(sys(i_sys).dmats)
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80 sys(i_sys).dmats{kk} = simplifyMatrix(sys(i_sys).dmats{kk});
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81 end
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82
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83 sys(i_sys).clearAllUnits;
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84 sys(i_sys).clearNumParams;
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85
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86 % updating size fields
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87 sys(i_sys).addHistory(getInfo('None'), pl , ssm_invars(i_sys), sys(i_sys).hist );
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88 end
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89
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90 if nargout == numel(sys)
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91 for ii = 1:numel(sys)
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92 varargout{ii} = sys(ii);
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93 end
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94 else
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95 varargout{1} = sys;
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96 end
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97 end
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98
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99
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100 function m = simplifyMatrix(m)
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101 try
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102 m = eval(m);
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103 end
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104 if ~isnumeric(m)
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105 m = char(m);
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106 end
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107 end
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108
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109 %--------------------------------------------------------------------------
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110 % Get Info Object
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111 %--------------------------------------------------------------------------
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112 function ii = getInfo(varargin)
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113
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114 if nargin == 1 && strcmpi(varargin{1}, 'None')
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115 sets = {};
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116 pl = [];
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117 else
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118 sets = {'Default'};
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119 pl = getDefaultPlist;
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120 end
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121 % Build info object
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122 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);
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123 end
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124
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125 %--------------------------------------------------------------------------
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126 % Get Default Plist
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127 %--------------------------------------------------------------------------
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128 function pl = getDefaultPlist()
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129 pl = plist();
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130 end
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131