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∗ The final version of this paper was sent to the editor when the author was supported by an ARC Small Grant of Dr. E. Tarafdar.Existence theorems of generalized variational inequalities and
generalized complementarity problems are obtained in topological vector
spaces for demi operators which are upper hemicontinuous along line segments
in a convex set X. Fixed point theorems are also given in Hilbert
spaces for set-valued operators T which are upper hemicontinuous along
line segments in X such...
We introduce an infinite-dimensional version of the Amann-Conley-Zehnder reduction for a class of boundary problems related to nonlinear perturbed elliptic operators with symmetric derivative. We construct global generating functions with finite auxiliary parameters, describing the solutions as critical points in a finite-dimensional space.
We develop several methods of realization of scalar product and generalized moment problems. Constructions are made by use of a Hilbertian method or a fixed point method. The constructed solutions are rational fractions and exponentials of polynomials. They are connected to entropy maximization. We give the general form of the maximizing solution. We show how it is deduced from the maximizing solution of the algebraic moment problem.
In this paper we study the minimax control of systems governed by a nonlinear evolution inclusion of the subdifferential type. Using some continuity and lower semicontinuity results for the solution map and the cost functional respectively, we are able to establish the existence of an optimal control. The abstract results are then applied to obstacle problems, semilinear systems with weakly varying coefficients (e.gȯscillating coefficients) and differential variational inequalities.
In this paper we consider the numerical computation of the optimal cost
function associated to the problem that consists in finding the minimum of
the maximum of a scalar functional on a trajectory. We present an
approximation method for the numerical solution which employs both
discretization on time and on spatial variables. In this way, we obtain a
fully discrete problem that has unique solution. We give an optimal estimate
for the error between the approximated solution and the optimal cost
function...
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