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Computing Methods in Optimization Problems: Papers presented at the 2nd International Conference on Computing Methods in Optimization Problems, San Remo, Italy, September 9–13, 1968: Lecture Notes in Economics and Mathematical Systems, cartea 14

Autor G. Arienti, A. Colonelli Daneri, M. Auslender, E. J. Beltrami, L. F. Buchanan, A. R. Stubberud, Philippe A. Clavier, R. Cosaert, E. Gottzein, A. De Maio, G. Guardabassi, A. Locatelli, S. Rinaldi, Mark Enns, H. O. Fattorini, Jean Fave, F. Caroti Ghelli, D. H. Jacobson, S. Kau, K. S. P. Kumar, Henry J. Kelley, Walter F. Denham, Angelo Miele, Radivoj Petrovi?, J. K. Skwirzynski, R. G. Stefanek, P. V. Kokotovi?, L. E. Weaver, D. G. Schultz
en Limba Engleză Paperback – 1969

Din seria Lecture Notes in Economics and Mathematical Systems

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Specificații

ISBN-13: 9783540046370
ISBN-10: 3540046372
Pagini: 204
Ilustrații: V, 194 p. 41 illus.
Dimensiuni: 178 x 254 x 11 mm
Greutate: 0.36 kg
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Computation of the Switching Times in Optimal Control Problems of Bang-Bang Type.- Methodes d’optimisation dans la theorie du controle.- A Comparison of Some Recent Iterative Methods for the Numerical Solution of Nonlinear Programs.- Problems in Optimal Control of Macroeconomic Systems.- Economic Optimization by Simulation: The Confidence Level Approach.- A Programme for Orbit Determination Associated with Launching and Station Keeping of 24 Hour Satellites.- Optimal Manpower Training.- Optimal Control of a Nuclear Reactor Power Plant.- Control with Bounded Inputs.- Critere de convergence par approxima- tion de l’optimum pour la methode du gradient.- Statistical Optimization of Circuit Design.- New Algorithms for Determining Optimal Control: A Differential Dynamic Programming Approach.- Successive Linearization and Nonlinear Filtering.- Modeling and Adjoints for Continuous Systems.- Variational Approach to the Gradient Method: Theory and Numerical Experiments.- Optimization of a Quasistochastic Class of Multiperiod Investments.- Optimisation of Electrical Network Responses.- Obtaining Fuel- Optimal Controls for Linear Time-Varying Plants by Newton’s Method.- Reactor Control Via State Variable Feedback.