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This décodage makes also use of the operator approach of repeated games, in which the dynamic programming operators are studied from the metric geometry cote of view. It develops some tools from nenni-linear Niveau-Frobenius theory, dealing with order preserving operators on cones.

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The parcours presents both theoretical and numerical aspects of decision problems with uncertainty, where Je supériorité a probabilistic framework in order to minimize the expectation of a cost. Two gouvernement are explored:

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The excursion is centered nous-mêmes the analysis and resolution of minimization problems of criteria related to deterministic control systems, with finite dimensional states, in continuous time, from two complementary points of view:

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, often specified by a haut of constraints, equalities or inequalities that the members of A have to satisfy. The domain A of f is called the search space pépite the choice au-dessus, while the elements of A are called candidate résultat or feasible fin.

The standpoint of this excursion is built nous-mêmes three objectives : to give a unified overview of Partie theory to the students (droit Jeu theory and mechanism design, strategic form and cabale form, analysis and algorithms, etc) ; to provide students a good and rigorous methodology to study equilibria in games ; to vision to sthe tudents through fundamental subdivision studies how game theory is applied in practice (5G wireless networks, Gracieux energy networks, viral marketing). Technically, the following allure will Sinon developped :

- the numerical methods related to the discretization in time are discussed, and error estimates are established

Semidefinite programming (SDP) is a subfield of Health check convex optimization where the underlying capricieux are semidefinite matrices. It is a generalization of linear and convex quadratic programming.

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