%-------------------------------------------------------------------------------
% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/LPnetlib/lpi_chemcom
% name: LPnetlib/lpi_chemcom
% [Netlib LP problem chemcom: minimize c'*x, where Ax=b, lo<=x<=hi]
% id: 709
% date: 1993
% author: T. Baker
% ed: J. Chinneck
% fields: title name A b id aux kind date author ed notes
% aux: c lo hi z0
% kind: linear programming problem
%-------------------------------------------------------------------------------
% notes:
% An infeasible Netlib LP problem, in lp/infeas.  For more information        
% send email to netlib@ornl.gov with the message:                             
%                                                                             
% 	send index from lp                                                         
% 	send readme from lp/infeas                                                 
%                                                                             
% The lp/infeas directory contains infeasible linear programming test problems
% collected by John W. Chinneck, Carleton Univ, Ontario Canada.  The following
% are relevant excerpts from lp/infeas/readme (by John W. Chinneck):          
%                                                                             
% In the following, IIS stands for Irreducible Infeasible Subsystem, a set    
% of constraints which is itself infeasible, but becomes feasible when any    
% one member is removed.  Isolating an IIS from within the larger set of      
% constraints defining the model is one analysis approach.                    
%                                                                             
% PROBLEM DESCRIPTION                                                         
% -------------------                                                         
%                                                                             
% CHEMCOM, QUAL, REFINERY, REACTOR, VOL1:  medium size problems derived       
% from a petrochemical plant model.  Doctored to generate infeasibility       
% due to inability to meet volume or quality restrictions.  With the          
% exception of REACTOR, these are highly volatile problems, yielding IISs     
% of varying sizes when different IIS isolation algorithms are applied.       
% See Chinneck [1993] for further discussion.  Contributor:  Tom Baker,       
% Chesapeake Decision Sciences.                                               
%                                                                             
% Name       Rows   Cols   Nonzeros Bounds      Notes                         
% chemcom     289    720     2190   B                                         
%                                                                             
% REFERENCES                                                                  
% ----------                                                                  
%                                                                             
% J.W.  Chinneck (1993).  "Finding the Most Useful Subset of Constraints      
% for Analysis in an Infeasible Linear Program", technical report             
% SCE-93-07, Systems and Computer Engineering, Carleton University,           
% Ottawa, Canada.                                                             
%                                                                             
%-------------------------------------------------------------------------------
