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Titlebook: Analysis and Optimization of Systems; Proceedings of the 9 A. Bensoussan,J. L. Lions Conference proceedings 1990 Springer-Verlag Berlin Hei

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Moonkyoung Jang,Rumi Lee,Byungjoon Yooequilibrium state is minimized. It is assumed that the volume of the body is constant. Moreover the function describing the boundary of the domain and its gradient are bounded. Necessary optimality condition for this problem is formulated using material derivative method.
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Genetic breeding of non-linear optimal control strategies for broom balancing,ts in the form of a control strategy consisting of a composition of functions, including arithmetic operations, conditional logical operations, and mathematical functions. This control strategy takes the problem’s state variables as its input and generates the direction from which to apply the “bang bang” force as its output.
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Construction of autonomous boundary-value linear systems from acausal input-output functions,s), reduces to the factorization of several rational matrices in two variables having separable denominators. This factorization problem is examined and a method is given for constructing minimal factorizations for such rational matrices.
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Iterative solution of a free-boundary problem arising in microscopic particle manipulation inside anumerical solution of this problem is presented. The basic approach is to solve the flows in the liquid and gas separately with an assumed free-boundary shape, and then make corrections for the free-boundary shape using the stress balance conditions at the liquid gas interface. Some typical numerical results are presented.
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Minimax shape optimization problem for von Karman system,equilibrium state is minimized. It is assumed that the volume of the body is constant. Moreover the function describing the boundary of the domain and its gradient are bounded. Necessary optimality condition for this problem is formulated using material derivative method.
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Ivana Medved,Kristina Peštović,Dušan Sakovićfinite number of stocks, the latter being driven by a d-dimensional Brownian motion. The coefficients of the bond and stock price processes are adapted to this Brownian motion, and the number of stocks is less than or equal to the dimension of the driving Brownian motion. It is shown that there is a
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