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Titlebook: Variational Calculus and Optimal Control; Optimization with El John L. Troutman Textbook 1996Latest edition Springer Science+Business Media

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發(fā)表于 2025-3-21 17:46:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Variational Calculus and Optimal Control
副標題Optimization with El
編輯John L. Troutman
視頻videohttp://file.papertrans.cn/981/980569/980569.mp4
叢書名稱Undergraduate Texts in Mathematics
圖書封面Titlebook: Variational Calculus and Optimal Control; Optimization with El John L. Troutman Textbook 1996Latest edition Springer Science+Business Media
描述Although the calculus of variations has ancient origins in questions of Ar- istotle and Zenodoros, its mathematical principles first emerged in the post- calculus investigations of Newton, the Bernoullis, Euler, and Lagrange. Its results now supply fundamental tools of exploration to both mathematicians and those in the applied sciences. (Indeed, the macroscopic statements ob- tained through variational principles may provide the only valid mathemati- cal formulations of many physical laws. ) Because of its classical origins, variational calculus retains the spirit of natural philosophy common to most mathematical investigations prior to this century. The original applications, including the Bernoulli problem of finding the brachistochrone, require opti- mizing (maximizing or minimizing) the mass, force, time, or energy of some physical system under various constraints. The solutions to these problems satisfy related differential equations discovered by Euler and Lagrange, and the variational principles of mechanics (especially that of Hamilton from the last century) show the importance of also considering solutions that just provide stationary behavior for some measure of performa
出版日期Textbook 1996Latest edition
關鍵詞Calculus; Convexity; Konvexe Funktion; Optimal control; Variationsrechnung; linear optimization; optimizat
版次2
doihttps://doi.org/10.1007/978-1-4612-0737-5
isbn_softcover978-1-4612-6887-1
isbn_ebook978-1-4612-0737-5Series ISSN 0172-6056 Series E-ISSN 2197-5604
issn_series 0172-6056
copyrightSpringer Science+Business Media New York 1996
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Piecewise , Extremal Functions should exhibit “corners,” and it is natural to wonder whether cornered curves . and . such as those shown in Figure 7.1 might not give improved results for other problems. Such curves are represented readily by functions which are ., or ..
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Sufficient Conditions for a Minimumve also seen in §7.6 that a minimizing function . must necessarily satisfy the Weierstrass condition ?(. .(.),.(.) ≥ 0, ? . ∈ ?., . ∈ [.], where ?(.). .(.) - .(.)- .(.)?(.),(1)and this is recognized as a convexity statement for .(. . .) along a trajectory in ?. defined by ..
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Necessary Conditions for Optimalitythe adjoint equation (a necessary condition) can be used to suggest sufficient conditions for optimality. Finally, in §11.3, we extend our control-theory approach to more general problems involving Lagrangian inequality constraints, and in Theorem 11.20 we obtain a Lagrangian multiplier rule of the Kuhn-Tucker type.
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Standard Optimization Problemshen “best” can be assessed numerically, then this assessment may be regarded as a real valued function of the method under consideration which is to be optimized—either maximized or minimized. We are interested not only in the optimum values which can be achieved, but also in the method (or methods)
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