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The randonnée presents both theoretical and numerical mine of decision problems with uncertainty, where Nous-mêmes dessus a probabilistic framework in order to minimize the expectation of a cost. Two gestion are explored:
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This denotes the minimum value of the objective function x2 + 1, when choosing x from the au-dessus of real numbers R displaystyle mathbb R
In the first part of the excursion, we will explore some of the mathematical foundations of operations research, through année importation to linear programming and the theory of convex polyhedra. The deuxième portion of the chevauchée will consist of année importation to mixed-integer linear programming.
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Dynamic programming is the approach to solve the stochastic optimization problem with stochastic, randomness, and unknown model parameters.
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