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https://github.com/fabianp/tron

Original TRON solver from http://www.mcs.anl.gov/~more/tron/
https://github.com/fabianp/tron

Last synced: 21 days ago
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Original TRON solver from http://www.mcs.anl.gov/~more/tron/

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README

        

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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: [email protected]

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.

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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.

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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

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Last modification: March 2001