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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.  

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