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Optimal Control and Forecasting of Complex Dynamical Systems
This important book reviews applications of optimization and optimal control theory to modern problems in physics, nano-science and finance. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to induce certain exc...
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Lenguaje: | eng |
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World Scientific
2006
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Acceso en línea: | http://cds.cern.ch/record/1058531 |
_version_ | 1780913131494572032 |
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author | Grigorenko, Ilya |
author_facet | Grigorenko, Ilya |
author_sort | Grigorenko, Ilya |
collection | CERN |
description | This important book reviews applications of optimization and optimal control theory to modern problems in physics, nano-science and finance. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to induce certain excitations in quantum systems, the optimal design of nanostructured materials and devices, or the control of chaotic systems and minimization of the forecast error for a given forecasting model (for example, artificial neural networks). Starting from a brief review of the history of variational calcul |
id | cern-1058531 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2006 |
publisher | World Scientific |
record_format | invenio |
spelling | cern-10585312021-04-22T01:57:32Zhttp://cds.cern.ch/record/1058531engGrigorenko, IlyaOptimal Control and Forecasting of Complex Dynamical SystemsMathematical Physics and MathematicsThis important book reviews applications of optimization and optimal control theory to modern problems in physics, nano-science and finance. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to induce certain excitations in quantum systems, the optimal design of nanostructured materials and devices, or the control of chaotic systems and minimization of the forecast error for a given forecasting model (for example, artificial neural networks). Starting from a brief review of the history of variational calculWorld Scientificoai:cds.cern.ch:10585312006 |
spellingShingle | Mathematical Physics and Mathematics Grigorenko, Ilya Optimal Control and Forecasting of Complex Dynamical Systems |
title | Optimal Control and Forecasting of Complex Dynamical Systems |
title_full | Optimal Control and Forecasting of Complex Dynamical Systems |
title_fullStr | Optimal Control and Forecasting of Complex Dynamical Systems |
title_full_unstemmed | Optimal Control and Forecasting of Complex Dynamical Systems |
title_short | Optimal Control and Forecasting of Complex Dynamical Systems |
title_sort | optimal control and forecasting of complex dynamical systems |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1058531 |
work_keys_str_mv | AT grigorenkoilya optimalcontrolandforecastingofcomplexdynamicalsystems |