ngraph.sparse-collection
Version:
Subset of the University of Florida sparse matrix collection
1 lines • 19.3 kB
JavaScript
module.exports = 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matrix coordinate real general\n-------------------------------------------------------------------------------\n UF Sparse Matrix Collection, Tim Davis\n http://www.cise.ufl.edu/research/sparse/matrices/LPnetlib/lpi_chemcom\n name: LPnetlib/lpi_chemcom\n [Netlib LP problem chemcom: minimize c'*x, where Ax=b, lo<=x<=hi]\n id: 709\n date: 1993\n author: T. Baker\n ed: J. Chinneck\n fields: title name A b id aux kind date author ed notes\n aux: c lo hi z0\n kind: linear programming problem\n-------------------------------------------------------------------------------\n notes:\n An infeasible Netlib LP problem, in lp/infeas. For more information \n send email to netlib@ornl.gov with the message: \n \n \tsend index from lp \n \tsend readme from lp/infeas \n \n The lp/infeas directory contains infeasible linear programming test problems\n collected by John W. Chinneck, Carleton Univ, Ontario Canada. The following\n are relevant excerpts from lp/infeas/readme (by John W. Chinneck): \n \n In the following, IIS stands for Irreducible Infeasible Subsystem, a set \n of constraints which is itself infeasible, but becomes feasible when any \n one member is removed. Isolating an IIS from within the larger set of \n constraints defining the model is one analysis approach. \n \n PROBLEM DESCRIPTION \n ------------------- \n \n CHEMCOM, QUAL, REFINERY, REACTOR, VOL1: medium size problems derived \n from a petrochemical plant model. Doctored to generate infeasibility \n due to inability to meet volume or quality restrictions. With the \n exception of REACTOR, these are highly volatile problems, yielding IISs \n of varying sizes when different IIS isolation algorithms are applied. \n See Chinneck [1993] for further discussion. Contributor: Tom Baker, \n Chesapeake Decision Sciences. \n \n Name Rows Cols Nonzeros Bounds Notes \n chemcom 289 720 2190 B \n \n REFERENCES \n ---------- \n \n J.W. Chinneck (1993). \"Finding the Most Useful Subset of Constraints \n for Analysis in an Infeasible Linear Program\", technical report \n SCE-93-07, Systems and Computer Engineering, Carleton University, \n Ottawa, Canada. \n \n-------------------------------------------------------------------------------"};