Modern Optimization Methods for Decision Making Under Risk and Uncertainty NEUF
66,75 €
The structure of stochastic optimization solvers is described. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations.
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