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  • 1
    UID:
    almafu_BV010617259
    Format: XV, 461 S. : graph. Darst.
    Edition: 2. ed.
    ISBN: 0-387-94511-3 , 978-1-4612-6887-1
    Series Statement: Undergraduate texts in mathematics
    Content: "This book supplies a broad-based introduction to variational methods for formulating and solving problems in mathematics and the applied sciences. It refines and extends the author's earlier text on variational calculus and a supplement on optimal control. It is the only current introductory text that uses elementary partial convexity of differentiable functions to characterize directly the solutions of some minimization problems before exploring necessary conditions for optimality or field theory methods of sufficiency. Through effective notation, it combines rudiments of analysis in (normed) linear spaces with simpler aspects of convexity to offer a multilevel strategy for handling such problems. It also employs convexity considerations to broaden the discussion of Hamilton's principle in mechanics and to introduce Pontjragin's principle in optimal control. It is mathematically self-contained but it uses applications from many disciplines to provide a wealth of examples and exercises. The book is accessible to upper-level undergraduates and should help its user understand theories of increasing importance in a society that values optimal performance."--BOOK JACKET.
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-4612-0737-5
    Former: Früher u.d.T. Troutman, John L. Variational calculus with elementary convexity
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Variationsrechnung ; Konvexe Funktion ; Optimale Kontrolle ; Konvexe Funktion ; Variationsrechnung ; Konvexe Optimierung ; Optimale Kontrolle ; Konvexe Optimierung ; Einführung
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  • 2
    Book
    Book
    New York [u.a.] :Springer,
    UID:
    almafu_BV002098294
    Format: XIV, 364 S. : , graph. Darst.
    ISBN: 3-540-90771-8
    Series Statement: Undergraduate texts in mathematics
    Later: Später u.d.T. Troutman, John L. Variational calculus and optimal control
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Variationsrechnung ; Konvexe Funktion ; Konvexe Funktion ; Variationsrechnung
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  • 3
  • 4
    UID:
    almahu_9947363017602882
    Format: XV, 462 p. , online resource.
    Edition: Second Edition.
    ISBN: 9781461207375
    Series Statement: Undergraduate Texts in Mathematics,
    Content: 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 performance of the system. However, many recent applications do involve optimization, in particular, those concerned with problems in optimal control. Optimal control is the rapidly expanding field developed during the last half-century to analyze optimal behavior of a constrained process that evolves in time according to prescribed laws. Its applications now embrace a variety of new disciplines, including economics and production planning.
    Note: 0 Review of Optimization in ?d -- Problems -- One Basic Theory -- 1 Standard Optimization Problems -- 2 Linear Spaces and Gâteaux Variations -- 3 Minimization of Convex Functions -- 4 The Lemmas of Lagrange and Du Bois-Reymond -- 5 Local Extrema in Normed Linear Spaces -- 6 The Euler-Lagrange Equations -- Two Advanced Topics -- 7 Piecewise C1 Extremal Functions -- 8 Variational Principles in Mechanics -- 9 Sufficient Conditions for a Minimum -- Three Optimal Control -- 10 Control Problems and Sufficiency Considerations -- 11 Necessary Conditions for Optimality -- A.1. The Intermediate and Mean Value Theorems -- A.2. The Fundamental Theorem of Calculus -- A.3. Partial Integrals: Leibniz’ Formula -- A.4. An Open Mapping Theorem -- A.5. Families of Solutions to a System of Differential Equations -- A.6. The Rayleigh Ratio -- Historical References -- Answers to Selected Problems.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781461268871
    Language: English
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  • 5
    Online Resource
    Online Resource
    New York, NY :Springer US,
    UID:
    almahu_9947362946602882
    Format: XIV, 365 p. , online resource.
    ISBN: 9781468401585
    Series Statement: Undergraduate Texts in Mathematics,
    Content: The calculus of variations, whose origins can be traced to the works of Aristotle and Zenodoros, is now Ii vast repository supplying fundamental tools of exploration not only to the mathematician, but-as evidenced by current literature-also to those in most branches of science in which mathematics is applied. (Indeed, the macroscopic statements afforded by variational principles may provide the only valid mathematical formulation of many physical laws. ) As such, it retains the spirit of natural philosophy common to most mathematical investigations prior to this century. How­ ever, it is a discipline in which a single symbol (b) has at times been assigned almost mystical powers of operation and discernment, not readily subsumed into the formal structures of modern mathematics. And it is a field for which it is generally supposed that most questions motivating interest in the subject will probably not be answerable at the introductory level of their formulation. In earlier articles,1,2 it was shown through several examples that a complete characterization of the solution of optimization problems may be available by elementary methods, and it is the purpose of this work to explore further the convexity which underlay these individual successes in the context of a full introductory treatment of the theory of the variational calculus. The required convexity is that determined through Gateaux variations, which can be defined in any real linear space and which provide an unambiguous foundation for the theory.
    Note: 0 Review of Optimization in ?d -- Problems -- One Basic Theory -- 1 Standard Optimization Problems -- 2 Linear Spaces and Gâteaux Variations -- 3 Minimization of Convex Functions -- 4 The Lemmas of Lagrange and Du Bois-Reymond -- 5 Local Extrema in Normed Linear Spaces -- 6 The Euler-Lagrange Equations -- Two Advanced Topics -- 7 Piecewise C1 Extremal Functions -- 8 Variational Principles in Mechanics -- 9* Sufficient Conditions for a Minimum -- A.1. The Intermediate and Mean Value Theorems -- A.2. The Fundamental Theorem of Calculus -- A.3. Partial Integrals: Leibniz’ Formula -- A.4. An Open Mapping Theorem -- A.5. Families of Solutions to a System of Differential Equations -- A.6. The Rayleigh Ratio -- Answers to Selected Problems.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781468401608
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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