Abstract

Exxon has been a large user of linear programming since its introduction. Exxon's primary large scale math programming system has evolved to also include facilities for sucessive linear programming and mixed integer programming. Some of Exxon's other math programming tools for quadratic programming and succesive quadratic programming are also described in this paper. Results of a recent study conducted to compare the performance of Exxon's succesive linear programming and successive quadratic programming techniques with the reduced gradient technology employed in other programs are presented.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.