Sangbum Lee, Ph.D.
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
process systems engineeringGoogle:
"Sangbum Lee"Mean distance: 13.09 | S | N | B | C | P |
Parents
Sign in to add mentorIgnacio E. Grossmann | grad student | 2002 | Carnegie Mellon | |
(Global optimization algorithm for nonlinear generalized disjunctive programming and applications to process systems engineering.) |
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Publications
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Lee S, Grossmann IE. (2005) Logic-Based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems Annals of Operations Research. 139: 267-288 |
Grossmann IE, Lee S. (2003) Computational Optimization and Applications. 26: 83-100 |
Lee S, Logsdon JS, Foral MJ, et al. (2003) Superstructure optimization of the olefin separation process Computer Aided Chemical Engineering. 14: 191-196 |
Lee S, Grossmann IE. (2003) Global optimization of nonlinear generalized disjunctive programming with bilinear equality constraints: applications to process networks Computers & Chemical Engineering. 27: 1557-1575 |
Vecchietti A, Lee S, Grossmann IE. (2003) Modeling of discrete/continuous optimization problems: characterization and formulation of disjunctions and their relaxations Computers & Chemical Engineering. 27: 433-448 |
Phalakornkule C, Lee S, Zhu T, et al. (2001) A MILP-based flux alternative generation and NMR experimental design strategy for metabolic engineering. Metabolic Engineering. 3: 124-37 |
Lee S, Grossmann IE. (2001) A global optimization algorithm for nonconvex generalized disjunctive programming and applications to process systems Computers & Chemical Engineering. 25: 1675-1697 |
Lee S, Grossmann IE. (2001) Erratum to “New algorithms for nonlinear generalized disjunctive programming” Computers & Chemical Engineering. 25: 1153 |
Lee S, Grossmann IE. (2000) New algorithms for nonlinear generalized disjunctive programming Computers & Chemical Engineering. 24: 2125-2141 |
Lee S, Phalakornkule C, Domach MM, et al. (2000) Recursive MILP model for finding all the alternate optima in LP models for metabolic networks Computers & Chemical Engineering. 24: 711-716 |