000 | 03763nam a22006495i 4500 | ||
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001 | 978-3-030-76928-4 | ||
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_a9783030769284 _9978-3-030-76928-4 |
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_a10.1007/978-3-030-76928-4 _2doi |
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050 | 4 | _aTA352-356 | |
050 | 4 | _aQC20.7.N6 | |
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_a515.39 _223 |
245 | 1 | 0 |
_aModern Trends in Controlled Stochastic Processes: _h[electronic resource] : _bTheory and Applications, V.III / _cedited by Alexey Piunovskiy, Yi Zhang. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aXII, 356 p. 67 illus., 42 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aEmergence, Complexity and Computation, _x2194-7295 ; _v41 |
|
505 | 0 | _aAverage Cost Markov Decision Processes with Semi-Uniform Feller Transition Probabilities -- First Passage Exponential Optimality Problem for Semi-Markov Decision Processes -- Controlled Random Walk: Conjecture and Counter-Example -- Optimal Stopping Problems for a Family of Continuous-Time Markov Processes -- Control of Continuous-Time Markov Jump Linear Systems with Partial Information. | |
520 | _aThis book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented. Scientific researchers and postgraduate students interested in stochastic optimal control,- as well as practitioners will find this book appealing and a valuable reference. . | ||
650 | 0 |
_aDynamics. _950332 |
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650 | 0 |
_aNonlinear theories. _93339 |
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650 | 0 |
_aEngineering—Data processing. _931556 |
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650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aNonlinear Optics. _911414 |
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650 | 0 |
_aStochastic analysis. _93247 |
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650 | 1 | 4 |
_aApplied Dynamical Systems. _932005 |
650 | 2 | 4 |
_aData Engineering. _932525 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aNonlinear Optics. _911414 |
650 | 2 | 4 |
_aStochastic Analysis. _93247 |
700 | 1 |
_aPiunovskiy, Alexey. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _950333 |
|
700 | 1 |
_aZhang, Yi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _99073 |
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710 | 2 |
_aSpringerLink (Online service) _950334 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030769277 |
776 | 0 | 8 |
_iPrinted edition: _z9783030769291 |
776 | 0 | 8 |
_iPrinted edition: _z9783030769307 |
830 | 0 |
_aEmergence, Complexity and Computation, _x2194-7295 ; _v41 _950335 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-76928-4 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
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