Editorial: Management and decision sciences, challenge and opportunities for control and optimization applications

Authors:
Alain B. Haurie
Affiliations:
Department of Management Studies University of Geneva Geneva, Switzerland
Venue:
Automatica (Journal of IFAC)
Year:
1998

Citing 9
Cited 0

A new polynomial-time algorithm for linear programming

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Scenarios and policy aggregation in optimization under uncertainty

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Singularly perturbed Markov control problem: limiting average cost

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Decomposition and nondifferentiable optimization with the projective algorithm

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Asymptotic theory for solutions in statistical estimation and stochastic programming

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Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming

Journal of the ACM (JACM)
Semidefinite programming in combinatorial optimization

Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Decomposition methods in stochastic programming

Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Paper: Optimal control of markov chains admitting strong and weak interactions

Automatica (Journal of IFAC)

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Abstract

In these pages I intend to illustrate the different components of the area management and decision sciences that I will be in charge of, as an area editor, for the coming years. To do so I will rely mostly on some research topics I know well for having contributed a little myself to their development. This area is very wide but I see several conducting lines through this variety of domains that are all related with the use of control and optimization paradigms both for modeling and computation/ simulation purposes.