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008			220103s2021 sz | o |||| 0|eng d
020			_a9783030917456
024	7		_a10.1007/978-3-030-91745-6 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aT57.6-.97 _b2021 EB
100	1		_aSethi, Suresh P. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aOptimal Control Theory : _bApplications to Management Science and Economics _cby Suresh P Sethi
250			_a4th ed. 2021.
264		1	_aCham _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer Texts in Business and Economics _x2192-4341
505	0		_a1. What is Optimal Control Theory? -- 2. The Maximum Principle: Continuous Time -- 3. The Maximum Principle: Mixed Inequality Constraints -- 4. The Maximum Principle: Pure State and Mixed Inequality Constraints -- 5. Applications to Finance -- 6. Applications to Production and Inventory -- 7. Applications to Marketing -- 8. The Maximum Principle: Discrete Time -- 9. Maintenance and Replacement -- 10. Applications to Natural Resources -- 11. Applications to Economics -- 12. Stochastic Optimal Control -- 13. Differential Games.
520			_aThis new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It introduces students to the concept of the maximum principle in continuous (as well as discrete) time by combining dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations encountered in business and economics. It applies optimal control theory to the functional areas of management including finance, production and marketing, as well as the economics of growth and of natural resources. In addition, it features material on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. Exercises are included in each chapter, while the answers to selected exercises help deepen readers' understanding of the material covered. Also included are appendices of supplementary material on the solution of differential equations, the calculus of variations and its ties to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as the foundation for the book, in which the author applies it to business management problems developed from his own research and classroom instruction. The new edition has been refined and updated, making it a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers interested in applying dynamic optimization in their fields.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-91745-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239242 _d239242