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Handbook of complex analysis : geometric function theory.
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ISBN: 1281012971 9786611012977 0080495176 044451547X 9780444515476 Year: 2005 Publisher: Amsterdam ; Boston : North Holland/Elsevier,

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Abstract

Geometric Function Theory is that part of Complex Analysis which covers the theory of conformal and quasiconformal mappings. Beginning with the classical Riemann mapping theorem, there is a lot of existence theorems for canonical conformal mappings. On the other side there is an extensive theory of qualitative properties of conformal and quasiconformal mappings, concerning mainly a prior estimates, so called distortion theorems (including the Bieberbach conjecture with the proof of the Branges). Here a starting point was the classical Scharz lemma, and then Koebe's distortion theorem.

Variational and extremum principles in macroscopic systems
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ISBN: 1280630132 9786610630134 0080456146 9780080456140 9780080444888 0080444881 Year: 2005 Publisher: Amsterdam ; Boston : Elsevier,

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Recent years have seen a growing trend to derive models of macroscopic phenomena encountered in the fields of engineering, physics, chemistry, ecology, self-organisation theory and econophysics from various variational or extremum principles. Through the link between the integral extremum of a functional and the local extremum of a function (explicit, for example, in the Pontryagin's maximum principle variational and extremum principles are mutually related. Thus it makes sense to consider them within a common context. The main goal of the present book is to collect various mathematica

Kernel methods for pattern analysis
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ISBN: 0521813972 9780521813976 9780511809682 Year: 2005 Publisher: Cambridge Cambridge University Press

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This book provides professionals with a large selection of algorithms, kernels and solutions ready for implementation and suitable for standard pattern discovery problems in fields such as bioinformatics, text analysis and image analysis. It also serves as an introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.

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