***************************************************************** COPYRIGHT NOTIFICATION This program discloses material protectable under copyright laws of the United States. Permission to copy and modify this software and its documentation for internal research use is hereby granted, provided that this notice is retained thereon and on all copies or modifications. The University of Chicago makes no representations as to the suitability and operability of this software for any purpose. It is provided "as is" without express or implied warranty. Use of this software for commercial purposes is expressly prohibited without contacting Jorge J. More' Mathematics and Computer Science Division Argonne National Laboratory 9700 S. Cass Ave. Argonne, Illinois 60439-4844 e-mail: more@mcs.anl.gov Argonne National Laboratory with facilities in the states of Illinois and Idaho, is owned by The United States Government, and operated by the University of Chicago under provision of a contract with the Department of Energy. ***************************************************************** INSTRUCTIONS The compressed tar file tron.tar.gz contains the MINPACK-2 trust region method for the solution of large bound-constrained optimization problems. 1. Create the tron directory structure with gzip -d tron.tar.gz tar -xvf tron.tar This produces the directory tron and several subdirectories. 2. Set the environment variable ARCH. Installation has been tested on linux, rs6000, solaris, irix, and alpha systems. Installation usually works on other systems but has not been tested. The file README in the utils directory contains more systems information. 3. Change directories to tron and install tron with make install This creates libraries in each of the subdirectories and the executable tron 4. Run the sample problems by executing tron, and compare the output in tron.info with the output on a similar system, tron.linux, for example. ***************************************************************** ADDITIONAL INFORMATION Chih-Jen Lin and Jorge J. More', Newton's method for large bound-constrained optimization problems, SIAM Journal on Optimization,9 (1999), 1100-1127. http://epubs.siam.org/sam-bin/dbq/article/34507 ***************************************************************** Last modification: March 2001