readme.txt for NCL (nonlinear constrained Lagrangian algorithm for optimization).

08 Dec 2017: First set of files available for download from SOL, Stanford University.

Coauthors:
   Ding Ma           dingma@stanford.edu        MS&E, Stanford University
   Kenneth Judd      judd@hoover stanford.edu   Hoover Institution, Stanford University
   Dominique Orban   dominique.orban@gerad.ca   GERAD and MIE, Ecole Polytechnique
   Michael Saunders  saunders@stanford.edu      MS&E, Stanford University

Please send comments to Michael Saunders, saunders@stanford.edu 650-723-1875.
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The NCL files are organized into the following folders:

   ampl     AMPL model/data/run files that implement Algorithm NCL
            on a particular case of a Taxation Policy optimization model:
               pTax5Dinitial.run
               pTax5Dncl.dat
               pTax5Dncl.mod
               pTax5Dnclipopt.run

   doc      "Stabilized optimization via an NCL algorithm",
            draft of article to appear in the proceedings of the NAO-IV conference
            "Numerical Analysis and Optimization" at Sultan Qaboos University,
            Muscat, Oman, January 2-5, 2017.

   results  nclipopt53322.txt
            File output by AMPL for example problem with na,nb,nc,nd,ne = 5,3,3,2,2.

To test Algorithm NCL from a terminal window on a Unix/Linux system:
   cd NCL/ampl                   Folder contain AMPL scripts
   ampl                          Start AMPL
   include pTax5Dnclipopt.run;   Run example problem interactively
   
To save output from AMPL session (and record elapsed time):
      date; ampl pTax5Dnclipopt.run > nclipopt53322.txt; date
Files created:
      nclipopt53322.log    Summary of each NCL major iteration
      nclipopt53322.txt    AMPL session
Compare with file NCL/results/nclipopt53322.txt.