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Mathematical Analysis of Evolution, Information, and Complexity

Mathematical Analysis of Evolution, Information, and Complexity

Wolfgang Arendt (Editor), Wolfgang P. Schleich (Editor)

ISBN: 978-3-527-62802-5

Aug 2009

502 pages

Select type: Wiley Online Book


Mathematical Analysis of Evolution, Information, and Complexity deals with the analysis of evolution, information and complexity. The time evolution of systems or processes is a central question in science, this text covers a broad range of problems including diffusion processes, neuronal networks, quantum theory and cosmology. Bringing together a wide collection of research in mathematics, information theory, physics and other scientific and technical areas, this new title offers elementary and thus easily accessible introductions to the various fields of research addressed in the book.
Weyl's Law
Wolfgang Arendt, Robin Nittka, Wolfgang Peter, Frank Steiner

Solutions of Systems of Linear Ordinary Differential equations
Werner Balser, Claudia Roescheisen, Frank Steiner, Eric Straeng

A Scalar-Tensor Theory of Gravity with a Higgs Potential
Nils Manuel Bezares-Roder, Frank Steiner

Relating Simulation and Modelling of Neural Networks
Stefano Cardanobile, Heiner Markert, Delio Mugnolo, Guenther Palm, Friedhelm Schwenker

Boolean Networks for Modelling Gene Regulation
Christian Wawra, Michael Kuehl, Hans A. Kestler

Symmetries in Quantum Graphs
Jens Bolte, Stefano Cardanobile, Delio Mugnolo, Robin Nittka

Distributed Architecture for Speech Controlled Systems Based on Associative Memories
Zoehre Kara Kayikci, Dmitry Zaykovskiy, Heiner Markert, Wolfgang Minker, Guenther Palm

Machine Learning for Categorisation of Speech Utterances
Amparo Albalate, David Suendermann, Roberto Pieraccini, Wolfgang Minker

Semi-supervised Clustering in Functional Genomics
Johann M. Kraus, Guenther Palm, Friedhelm Schwenker, Hans A. Kestler

Image Processing and Feature Extraction from a Perspective of Computer Vision and Physical Cosmology
Holger Stefan Janzer, Florian Raudies, Heiko Neumann, Frank Steiner

Boosting Ensembles of Weak Classifiers in High Dimensional Input Spaces
Ludwig Lausser, Friedhelm Schwenker, Hans A. Kestler

The Sampling Theorem in Theory and Practice
Wolfgang Arendt, Michal Chovanec, Jurgen Lindner, Robin Nittka

Coding and Decoding of Algebraic-Geometric Codes
Martin Bossert, Werner Luetkebohmert, Joerg Marhenke

Investigation of input-output gain in dynamical systems for neural information processing
Stefano Cardanobile, Michael Cohen, Silvia Corchs, Delio Mugnolo, Heiko Neumann

Wave Packet Dynamics and Factorization
Ruediger Mack, Wolfgang P. Schleich, Daniel Haase, Helmut Maier

Isomorphism and factorization - classical and quantum
Sebastian Doern, Daniel Haase, Jacobo Toran, Fabian Wagner

QuickSort from an Information Theoretic View
Beatrice List, Markus Maucher, Uwe Schoning, Rainer Schuler