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Titlebook: Computing Methods in Optimization Problems; Papers presented at G. Arienti,A. Colonelli Daneri,D. G. Schultz Conference proceedings 1969 S

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0075-8442 Overview: 978-3-540-04637-0978-3-642-85974-8Series ISSN 0075-8442 Series E-ISSN 2196-9957
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https://doi.org/10.1007/978-3-642-69050-1η depending on the circuit properties, it is attempted to find out that component specification for which .is maximum under the following conditions: .where . and .are defined by .,.,.and .. being preassigned. The method proposed for the optimization is then applied to a logical network realized by “NOR” modules, and the results are reported.
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Computation of the Switching Times in Optimal Control Problems of Bang-Bang Type,ing linearly (.),(.),(.). The method we propose belongs to the class of direct methods but also makes use of the knowledge of the general form of the optimal control derived by the maximum principle (.).
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Problems in Optimal Control of Macroeconomic Systems, the national economy is, by its very nature, a multidimensional system and the feedback control theory of the 1950 time period was generally unable to cope with this multidimensionality in a useful manner. Also, the development of dynamic macroeconomic models was not at a level for which meaningful results could be obtained.
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Statistical Optimization of Circuit Design,η depending on the circuit properties, it is attempted to find out that component specification for which .is maximum under the following conditions: .where . and .are defined by .,.,.and .. being preassigned. The method proposed for the optimization is then applied to a logical network realized by “NOR” modules, and the results are reported.
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Therapeutisches Arbeiten mit TräumenLa formulation originale des problèmes de contrôle avancée par Ghouila-Houri permet de construire des méthodes nouvelles dans la théorie du contrôle, de préciser la convergence des méthodes discrètes ainsi que la stabilité de ces problèmes. Nous exposons ici:
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https://doi.org/10.1007/3-540-28830-9In this paper we wish to survey some recent algorithms for constrained minimization on Rn and, in particular, for nonlinear programs. Our emphasis will be on the numerical difficulties associated with these methods, along with some discussion of that can be done about overcoming such computational problems.
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