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  3. Surveys in Operations Research and Management Science
  4. 2013
Showing papers in "Surveys in Operations Research and Management Science in 2013"
Journal Article•10.1016/J.SORMS.2013.03.001•
The fundamental risk quadrangle in risk management, optimization and statistical estimation

[...]

R. Tyrrell Rockafellar1, Stan Uryasev2•
University of Washington1, University of Florida2
01 Oct 2013-Surveys in Operations Research and Management Science
TL;DR: In this paper, a quadrangle of risk is developed to reconcile risk measures and expected utility, thereby reconciling those two approaches to optimisation under uncertainty, and a direct correspondence can be identified between measures of error and measures of regret.

248 citations

Journal Article•10.1016/J.SORMS.2012.12.001•
Practical guidelines for solving difficult mixed integer linear programs

[...]

Ed Klotz1, Alexandra M. Newman2•
IBM1, Colorado School of Mines2
01 Oct 2013-Surveys in Operations Research and Management Science
TL;DR: In this paper, the authors present suggestions for appropriate use of state-of-the-art optimizers and guidelines for careful formulation, both of which can vastly improve performance of mixed integer programs.

99 citations

Journal Article•10.1016/J.SORMS.2012.11.001•
Practical guidelines for solving difficult linear programs

[...]

Ed Klotz1, Alexandra M. Newman2•
IBM1, Colorado School of Mines2
01 Oct 2013-Surveys in Operations Research and Management Science
TL;DR: Suggestions for diagnosing and removing performance problems in state-of-the-art linear programming solvers, and guidelines for careful model formulation, both of which can vastly improve performance are presented.

54 citations

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