pdipm_abs

 PDIPM_ABS  inverse solver for absolute data using Primal/Dual interior point method
 img= pdipm_abs( inv_model, data);
 img        => output image (or vector of images)
 inv_model  => inverse model struct
 data       => vector of eit data

  inv_model.pdipm_abs.norm_data  1 or 2 (DEFAULT 2)
  inv_model.pdipm_abs.norm_prior 1 or 2 (DEFAULT 2)
  inv_model.pdipm_abs.beta     (default 1e-6)

 Parameters:
  max_iter =  inv_model.parameters.max_iteration (default 10)
      Max number of iterations before stopping
  min change = inv_model.parameters.min_change   (default 0)
      Min Change in objective fcn (norm(y-Jx)^2 + hp*TV(x)) before stopping
 beta is the parameter that smooths the TV functional

0001 function img=pdipm_abs( varargin )
0002 % PDIPM_ABS  inverse solver for absolute data using Primal/Dual interior point method
0003 % img= pdipm_abs( inv_model, data);
0004 % img        => output image (or vector of images)
0005 % inv_model  => inverse model struct
0006 % data       => vector of eit data
0007 %
0008 %  inv_model.pdipm_abs.norm_data  1 or 2 (DEFAULT 2)
0009 %  inv_model.pdipm_abs.norm_prior 1 or 2 (DEFAULT 2)
0010 %  inv_model.pdipm_abs.beta     (default 1e-6)
0011 %
0012 % Parameters:
0013 %  max_iter =  inv_model.parameters.max_iteration (default 10)
0014 %      Max number of iterations before stopping
0015 %  min change = inv_model.parameters.min_change   (default 0)
0016 %      Min Change in objective fcn (norm(y-Jx)^2 + hp*TV(x)) before stopping
0017 % beta is the parameter that smooths the TV functional
0018 
0019 % (C) 2010 Andrea Borsic + Andy Adler. License: GPL v2 or v3
0020 % $Id: pdipm_abs.m 3289 2012-07-01 10:40:31Z aadler $
0021 
0022 
0023 warning('EIDORS:deprecated','PDIPM_ABS is deprecated as of 08-Jun-2012. Use INV_SOLVE_ABS_PDIPM instead.');
0024 
0025 if isfield(inv_model,'pdipm_abs');
0026   inv_model.inv_solve_abs_pdipm = inv_model.pdipm_abs;
0027 end
0028 
0029 img = inv_solve_abs_pdipm(varargin{:});