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Specifications
Publisher
Springer
Language
English
ISBN-13
9783540083580
ISBN-10
3540083588
Author
S. R. Sario | M. Nakai | C. Wang
Product Description
Here on GlowMirror, you'll find Classification Theory of Riemannian Manifolds filed under Springer -- everything you need to know is covered below.
About the Book
Preface and historical note.- Laplace-Beltrami operator.- Harmonic functions.- Quasiharmonic functions.- Bounded biharmonic functions.- Dirichlet finite biharmonic functions.- Bounded dirichlet finite biharmonic functions.- Harmonic, quasiharmonic, and biharmonic degeneracies.- Riesz representation of biharmonic functions.- Biharmonic Green's function ?.- Biharmonic Green's function ?: Definition and existence.- Relation of O ? N to other null cl…
ISBN: 9783540083580
Book Insights
What You'll Learn
·In-depth exploration of topics covered in Classification Theory of Riemannian Manifolds
·Key concepts explained with clarity and practical examples
·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
·Brand new physical book delivered across India
·15-day hassle-free return policy
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Classification Theory of Riemannian Manifolds is available in English on GlowMirror.
Who is the author of Classification Theory of Riemannian Manifolds?
Classification Theory of Riemannian Manifolds is authored by S. R. Sario | M. Nakai | C. Wang.
Who published Classification Theory of Riemannian Manifolds?
Classification Theory of Riemannian Manifolds is published by Springer.
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What is Classification Theory of Riemannian Manifolds about?
About the Book
Preface and historical note.- Laplace-Beltrami operator.- Harmonic functions.- Quasiharmonic functions.- Bounded biharmonic functions.- Dirichlet finite biharmonic functions.- Bounded dirichlet finite biharmonic functions.- Harmonic, quasiharmonic, and biharmonic degeneracies.- Ries...
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Whether Classification Theory of Riemannian Manifolds is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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