Titlebook: Control Problems for Systems Described by Partial Differential Equations and Applications; Proceedings of the I Irena Lasiecka,Roberto Trig

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S. A. Huber,P. A. Lodge,L. P. Jobation" of the system for which the model is derived and the solution of the model equation as a function of the unknown parameter. We study the continuous dependence of the output least squares formulation on the observation of the system. There is no a-priori assumption on the uniqueness of the output least squares solutions.

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https://doi.org/10.1007/978-3-642-95478-8pect to t is the Min Max with respect to the points solution of the Min Max problem of the derivative of the original functional with respect to t. To illustrate the use of this theorem, we apply it to the control of an elliptic equation with a non-differentiable observation and to a shape optimal design problem.

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Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/c/image/237257.jpg

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H. P. Schultheiß,H.-D. Bolte,P. Schwimmbecks. Because there are 4 unknown functions of 3 variables, this method of solution yieldsextremely large optimal control problems. Conjugate Gradient Algorithms and Finite Element Discretization where employed with satisfactory results. However, a Quasi-Newton method failed to improve computer time.

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S. A. Huber,P. A. Lodge,L. P. Jobation" of the system for which the model is derived and the solution of the model equation as a function of the unknown parameter. We study the continuous dependence of the output least squares formulation on the observation of the system. There is no a-priori assumption on the uniqueness of the out

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https://doi.org/10.1007/978-3-642-95478-8pect to t is the Min Max with respect to the points solution of the Min Max problem of the derivative of the original functional with respect to t. To illustrate the use of this theorem, we apply it to the control of an elliptic equation with a non-differentiable observation and to a shape optimal d

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