We analyze single parameter process design problems that typically entail minimizing the sum of convex and concave functions. We transform such problems into a tractable form, and obtain sharp characterizations of the original problem. Solution methods are discussed, including an algorithm for the finite case. Applications of the approach are included.
- Faculty
- Publications
- Postdoctoral Scholars
-
Research Labs & Initiatives
- Cities, Housing & Society Lab
- Corporate Governance Research Initiative
- Corporations and Society Initiative
- Golub Capital Social Impact Lab
- Initiative for Financial Decision-Making
- Policy and Innovation Initiative
- Rapid Decarbonization Initiative
- Value Chain Innovation Initiative
- Venture Capital Initiative
- Behavioral Lab
- Data, Analytics & Research Computing