Welcome to the CCOP homepage!
The Cornell Computational Optimization Project is funded through Cornell's
Center
for Applied Mathematics by the National
Science Foundation and the Office
of Naval Research. It supports both mathematical and computational
investigations covering a wide range of topics in continuous and discrete
optimization.
The people involved with CCOP come from the School
of Operations Research and Industrial Engineering, the Department
of Computer Science, the Advanced Computing Research Institute as well
as the Cornell Theory Center.
Some recent and current projects are:
-
a comprehensive comparison of codes for network optimization;
-
methods for large-scale bound-constrained nonlinear programming;
-
automatic differentiation techniques;
-
parallel
linear programming algorithms;
-
parallel branch-and-cut for mixed integer programs;
-
molecular conformation via global optimization;
-
approximation algorithms in combinatorial optimization;
-
interior-point methods for linear and convex programming, including semidefinite
programming;
-
packet switching in networks;
-
genetic mapping
-
and scheduling algorithms.
These projects resulted in several software packages which will eventually
be made available through this webpage. Please check back with us soon.
What's new at CCOP? (last updated 8/26/04)
The following information is currently available from this website:
Please send comments or suggestions to
ccopstaff@cs.cornell.edu
Last update: Thu Aug 26 2004