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  • 1
    Online Resource
    Online Resource
    Cham :Springer Nature Switzerland :
    UID:
    almahu_9949930912302882
    Format: X, 168 p. 3 illus., 1 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031771606
    Series Statement: Compact Textbooks in Mathematics,
    Content: This textbook gives an introduction to optimization tools which arise around the Weierstrass theorem about the minimum of a lower semicontinuous function. Starting from a Euclidean space, it moves further into the infinite dimensional setting towards the direct variational method, going through differentiation and introducing relevant background information on the way. Exercises accompany the text and include observations, remarks, and examples that help understand the presented material. Although some basic knowledge of functional analysis is assumed, covering Hilbert and Banach spaces and the Lebesgue integration, the required background material is covered throughout the text, and literature suggestions are provided. For less experienced readers, a summary of some optimization techniques is also included. The book will appeal to both students and instructors in specialized courses on optimization, wishing to learn more about variational methods.
    Note: - 1. The Weierstrass Theorem - the origin of optimization -- 2. Some basics from functional analysis and function spaces -- 3. Differentiation in infinite dimensional spaces -- 4. On the Weierstrass Theorem in infinite dimensional spaces -- 5. Applications to multiple integrals.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031771590
    Additional Edition: Printed edition: ISBN 9783031771613
    Language: English
    Keywords: Llibres electrònics
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1913280993
    Format: 1 Online-Ressource (X, 168 Seiten)
    ISBN: 9783031771606
    Series Statement: Compact textbooks in mathematics
    Content: This textbook gives an introduction to optimization tools which arise around the Weierstrass theorem about the minimum of a lower semicontinuous function. Starting from a Euclidean space, it moves further into the infinite dimensional setting towards the direct variational method, going through differentiation and introducing relevant background information on the way. Exercises accompany the text and include observations, remarks, and examples that help understand the presented material. Although some basic knowledge of functional analysis is assumed, covering Hilbert and Banach spaces and the Lebesgue integration, the required background material is covered throughout the text, and literature suggestions are provided. For less experienced readers, a summary of some optimization techniques is also included. The book will appeal to both students and instructors in specialized courses on optimization, wishing to learn more about variational methods.
    Note: 1. The Weierstrass Theorem - the origin of optimization -- 2. Some basics from functional analysis and function spaces -- 3. Differentiation in infinite dimensional spaces -- 4. On the Weierstrass Theorem in infinite dimensional spaces -- 5. Applications to multiple integrals.
    Additional Edition: ISBN 9783031771590
    Additional Edition: ISBN 9783031771613
    Additional Edition: Erscheint auch als Druck-Ausgabe Galewski, Marek Basics of nonlinear optimization Cham : Birkhäuser, 2024 ISBN 9783031771590
    Additional Edition: ISBN 3031771591
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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