By Topic

Preface

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

Mathematical optimization is important in the application of computer power to problems such as minimization, maximization, and resource optimization. IBM has long been represented in this area by products such as the IBM Mathematical Programming System Extended/370 (MPSX/370). The newest set of broadly applicable tools is known as the IBM Optimization Subroutine Library (OSL). An initial essay and seven papers following it describe OSL and its capabilities. We are indebted to D. G. Wilson of the IBM Application Solutions Division in Kingston, New York, for his efforts in bringing together this exposition on OSL.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:31 ,  Issue: 1 )