| Catalog Content |
Decision Making Process: Fundamental concepts, Decision types; Decision Under Uncertainty: Maximax criterion, Maximin criterion, Hurwicz criterion, Laplace criterion; Decision Under Risk: Expected value criterion, Maximum likelihood criterion; Decision Trees and Bayesian Theorem; Additional Information and Decision: The expected value of perfect information; Nonlinear Models: Convex and Concave functions, Unconstrained optimization, constrained optimization; Network Models: The shortest route problem, The maximum flow problem, The minimum spanning problem; Simulation Models; The usage areas of simulation, Simulation of queuing problems. |
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