Current Topics In Pure And Computational Complex Analysis

Download Current Topics In Pure And Computational Complex Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Current Topics In Pure And Computational Complex Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Current Topics in Pure and Computational Complex Analysis

The book contains 13 articles, some of which are survey articles and others research papers. Written by eminent mathematicians, these articles were presented at the International Workshop on Complex Analysis and Its Applications held at Walchand College of Engineering, Sangli. All the contributing authors are actively engaged in research fields related to the topic of the book. The workshop offered a comprehensive exposition of the recent developments in geometric functions theory, planar harmonic mappings, entire and meromorphic functions and their applications, both theoretical and computational. The recent developments in complex analysis and its applications play a crucial role in research in many disciplines.
Applied Complex Analysis

Author: Rakesh Kumar Pandey
language: en
Publisher: Discovery Publishing House
Release Date: 2010
This book as a supplement for the physical science or engineering calculus. It can equally well be used in the mathematical methods for scientists and engineers. The subject is traditionally called Applied Complex Analysis. Contents: Differentiation of Complex Functions, Integration of Complex Functions, Cauchy Integral Theorem, Contour Integration, Taylor and Laurent Series, Calculus of Residues, Evaluation of Integrals and Series, Conformal Mapping, Application of Conformal Mapping.
Computational Complexity

Author: Sanjeev Arora
language: en
Publisher: Cambridge University Press
Release Date: 2009-04-20
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.