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Advances In Real And Complex Analysis With Applications 1st Edition Michael Ruzhansky

  • SKU: BELL-6792864
Advances In Real And Complex Analysis With Applications 1st Edition Michael Ruzhansky
$ 31.00 $ 45.00 (-31%)

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Advances In Real And Complex Analysis With Applications 1st Edition Michael Ruzhansky instant download after payment.

Publisher: Birkhäuser Basel
File Extension: PDF
File size: 3.99 MB
Pages: 304
Author: Michael Ruzhansky, Yeol Je Cho, Praveen Agarwal, Iván Area (eds.)
ISBN: 9789811043369, 9789811043376, 9811043361, 981104337X
Language: English
Year: 2017
Edition: 1

Product desciption

Advances In Real And Complex Analysis With Applications 1st Edition Michael Ruzhansky by Michael Ruzhansky, Yeol Je Cho, Praveen Agarwal, Iván Area (eds.) 9789811043369, 9789811043376, 9811043361, 981104337X instant download after payment.

This book discusses a variety of topics in mathematics and engineering as well as their applications, clearly explaining the mathematical concepts in the simplest possible way and illustrating them with a number of solved examples. The topics include real and complex analysis, special functions and analytic number theory, q-series, Ramanujan’s mathematics, fractional calculus, Clifford and harmonic analysis, graph theory, complex analysis, complex dynamical systems, complex function spaces and operator theory, geometric analysis of complex manifolds, geometric function theory, Riemannian surfaces, Teichmüller spaces and Kleinian groups, engineering applications of complex analytic methods, nonlinear analysis, inequality theory, potential theory, partial differential equations, numerical analysis , fixed-point theory, variational inequality, equilibrium problems, optimization problems, stability of functional equations, and mathematical physics.

It includes papers presented at the 24th International Conference on Finite or Infinite Dimensional Complex Analysis and Applications (24ICFIDCAA), held at the Anand International College of Engineering, Jaipur, 22–26 August 2016. The book is a valuable resource for researchers in real and complex analysis.

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