论文信息 - Cost-effective Sulphur Emission Reduction under Uncertainty

Cost-effective Sulphur Emission Reduction under Uncertainty

The problem of reducing SO2 emissions in Europe is considered. The costs of reduction are assumed to be uncertain and are modeled by a set of possible scenarios. A mean-variance model of the problem is formulated and a specialized computational procedure is developed. The approach is applied to the trans-boundary air pollution model with real-world data.

Markus Amann | Andrzej Ruszczyński | Ger Klaassen | Anna Altman | Wolfgang Schöpp

[1] Sanjay Mehrotra,et al. Higher order methods and their performance , 1990 .

[2] Robert J. Vanderbei,et al. Symmetric indefinite systems for interior point methods , 1993, Math. Program..

[3] Jacek Gondzio,et al. HOPDM: A higher order primal-dual method for large scale linear programming , 1993 .

[4] Abraham Charnes,et al. Constrained Generalized Medians and Hypermedians as Deterministic Equivalents for Two-Stage Linear Programs under Uncertainty , 1965 .

[5] Dick den Hertog,et al. Interior Point Approach to Linear, Quadratic and Convex Programming: Algorithms and Complexity , 1994 .

[6] Harvey J. Greenberg,et al. Mathematical Programming Models for Environmental Quality Control , 1995, Oper. Res..

[7] I. Duff,et al. Direct Methods for Sparse Matrices , 1987 .

[8] Tamra Carpenter,et al. Practical interior point methods for quadratic programming , 1992 .

[9] J. Alcamo,et al. The RAINS Model of Acidification: Science and Strategies in Europe , 1990 .

[10] James M. Ortega,et al. Iterative solution of nonlinear equations in several variables , 2014, Computer science and applied mathematics.

[11] R. C. Monteiro,et al. Interior path following primal-dual algorithms , 1988 .

[12] Renato D. C. Monteiro,et al. Interior path following primal-dual algorithms. part II: Convex quadratic programming , 1989, Math. Program..