IBM Open Collaborative Research partner Carnegie Mellon University has received a grant from the National Science Foundation to develop Mixed-Integer Nonlinear Programming (MINLP) computational tools within a unique virtual collaborative environment.
The award follows on open-source research that IBM has conducted with Carnegie Mellon researchers in a related mathematical optimization project aimed at developing MINLP methods to help businesses solve real-world problems in areas such as engineering design and manufacturing, metabolic networks and portfolio investment.
Researchers at Carnegie Mellon and IBM Research will use nearly $1.2 million over the next four years in a project called "Open Cyberinfrastructure for Mixed-integer Nonlinear Programming: Collaboration and Deployment via Virtual Environments" to address the challenge of solving practical large-scale MINLP optimization problems in reasonable computational times.
Read more about the NSF award.
For additional information about the IBM Open Collaborative Research mathematical optimization project with Carnegie Mellon University, contact Jon Lee.
Last updated on February 27, 2008.