Algorithms
Algorithms are the engine at the core of the computerized solution of any mathematical model. For example, one might formulate some decision-making issue in terms of a linear program, but then how do you solve that linear program? With an algorithm.
An algorithm can be analyzed theoretically and empirically; and this analysis might be focused on the quality of the solution found, or on how efficiently it is found. Whereas a theoretical analysis is typically a mathematical statement about the method, an empirical analysis of an algorithm typically involves its computer implementation, and the construction of benchmark data sets on which to evaluate the algorithm’s performance.
Research Area Faculty
The faculty researchers in this area exemplify the collaborative nature of the work done at Cornell Engineering.
Eilyan Bitar
Robert Gary Bland
Damek Shea Davis
Silvia Ferrari
H. Oliver Gao
David Alan Goldberg
Robert D. Kleinberg
Adrian S. Lewis
Alyosha Christopher Molnar
Nils Napp
Francesca Parise
Mason Peck
Perrine Pepiot
Patrick Michael Reed
James Renegar
Samitha Samaranayake
Timothy Sands
David B. Shmoys
Éva Tardos
Huseyin Topaloglu
Chas Williamson
Fengqi You
Christina Lee Yu
Research Area Field Faculty
Faculty researchers from Cornell's several campuses contribute to this research area.
Frans Schalekamp
Research Groups
- Bob Bland website
- Christina Lee Yu website
- CTECH
- Data Science Center for Enterprise and Society
- David Goldberg website
- David Gries Research
- David Shmoys website
- David Williamson website
- Eilyan Bitar website
- Éva Tardos website
- Fengqi You Google Scholar Profile
- Fengqi You Group Website
- Francesca Parise website
- Gao Research Group
- http://pepiot.mae.cornell.edu
- Huseyin Topaloglu website
- James Renegar website
- Laboratory for Intelligent Systems and Control (LISC)
- Molnar Group
- Reed Group Website
- Robert D. Kleinberg Research
- Samitha Samaranayake Group
- Siddhartha Banerjee website
- Space Systems Design Studio Website
- The Cornell-University of Bologna Institute for Vehicle Intelligence
- The McMahon Lab
- Tim Sands Google Scholar
- Tim Sands NPS Vita Faculty Profile