000			05015nam a22005175i 4500
001			978-0-8176-8098-5
003			DE-He213
005			20251006084440.0
007			cr nn 008mamaa
008			110505s2011 xxu| s |||| 0|eng d
020			_a9780817680985
020			_a99780817680985
024	7		_a10.1007/978-0-8176-8098-5 _2doi
082	0	4	_a003.3 _223
100	1		_aAniţa, Sebastian. _eauthor.
245	1	3	_aAn Introduction to Optimal Control Problems in Life Sciences and Economics _h[electronic resource] : _bFrom Mathematical Models to Numerical Simulation with MATLAB® / _cby Sebastian Aniţa, Viorel Arnăutu, Vincenzo Capasso.
264		1	_aBoston, MA : _bBirkhäuser Boston : _bImprint: Birkhäuser, _c2011.
300			_aXII, 232p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aModeling and Simulation in Science, Engineering and Technology, _x2164-3679
505	0		_aAn Introduction to MATLAB. Elementary Models with Applications -- Optimal Control of Ordinary Differential Systems. Optimality Conditions -- Optimal Control of Ordinary Differential Systems. Gradient Methods -- Optimal Harvesting for Age-Structured Population -- Optimal Control of Diffusive Models -- Appendices -- References -- Index.
520			_aCombining two important and growing areas of applied mathematics-control theory and modeling-this textbook introduces and builds on methods for simulating and tackling problems in a variety of applied sciences. Control theory has moved from primarily being used in engineering to an important theoretical component for optimal strategies in other sciences, such as therapies in medicine or policy in economics. Applied to mathematical models, control theory has the power to change the way we view biological and financial systems, taking us a step closer to solving concrete problems that arise out of these systems. Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems, stressing concepts and minimizing technicalities. An elementary presentation of advanced concepts from the mathematical theory of optimal control is provided, giving readers the tools to solve significant and realistic problems. Proofs are also given whenever they may serve as a guide to the introduction of new concepts. This approach not only fosters an understanding of how control theory can open up modeling in areas such as the life sciences, medicine, and economics, but also guides readers from applications to new, independent research. Key features include: * An introduction to the main tools of MATLAB®, as well as programs that move from relatively simple ODE applications to more complex PDE models; * Numerous applications to a wide range of subjects, including HIV and insulin treatments, population dynamics, and stock management; * Exploration of cutting-edge topics in later chapters, such as optimal harvesting and optimal control of diffusive models, designed to stimulate further research and theses projects; * Exercises in each chapter, allowing students a chance to work with MATLAB and achieve a better grasp of the applications; * Minimal prerequisites: undergraduate-level calculus; * Appendices with basic concepts and results from functional analysis and ordinary differential equations, including Runge-Kutta methods; * Supplementary MATLAB files are available at the publisher's website: http://www.birkhauser-science.com/978-0-8176-8097-8/. As a guided tour to methods in optimal control and related computational methods for ODE and PDE models, An Introduction to Optimal Control Problems in Life Sciences and Economics serves as an excellent textbook for graduate and advanced undergraduate courses in mathematics, physics, engineering, computer science, biology, biotechnology, and economics. The work is also a useful reference for researchers and practitioners working with optimal control theory in these areas.
650		0	_aMATHEMATICS.
650		0	_aDIFFERENTIAL EQUATIONS.
650		0	_aSYSTEMS THEORY.
650	1	4	_aMATHEMATICS.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aCONTROL.
650	2	4	_aSYSTEMS THEORY, CONTROL.
650	2	4	_aGAME THEORY, ECONOMICS, SOCIAL AND BEHAV. SCIENCES.
650	2	4	_aMATHEMATICAL AND COMPUTATIONAL BIOLOGY.
650	2	4	_aORDINARY DIFFERENTIAL EQUATIONS.
700	1		_aArnăutu, Viorel. _eauthor.
700	1		_aCapasso, Vincenzo. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780817680978
830		0	_aModeling and Simulation in Science, Engineering and Technology, _x2164-3679
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-8176-8098-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c59848 _d59848