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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.
List of contents
Weyl's LawWolfgang Arendt, Robin Nittka, Wolfgang Peter, Frank SteinerSolutions of Systems of Linear Ordinary Differential equationsWerner Balser, Claudia Roescheisen, Frank Steiner, Eric StraengA Scalar-Tensor Theory of Gravity with a Higgs PotentialNils Manuel Bezares-Roder, Frank SteinerRelating Simulation and Modelling of Neural NetworksStefano Cardanobile, Heiner Markert, Delio Mugnolo, Guenther Palm, Friedhelm SchwenkerBoolean Networks for Modelling Gene RegulationChristian Wawra, Michael Kuehl, Hans A. KestlerSymmetries in Quantum GraphsJens Bolte, Stefano Cardanobile, Delio Mugnolo, Robin NittkaDistributed Architecture for Speech Controlled Systems Based on Associative MemoriesZoehre Kara Kayikci, Dmitry Zaykovskiy, Heiner Markert, Wolfgang Minker, Guenther PalmMachine Learning for Categorisation of Speech UtterancesAmparo Albalate, David Suendermann, Roberto Pieraccini, Wolfgang MinkerSemi-supervised Clustering in Functional GenomicsJohann M. Kraus, Guenther Palm, Friedhelm Schwenker, Hans A. KestlerImage Processing and Feature Extraction from a Perspective of Computer Vision and Physical CosmologyHolger Stefan Janzer, Florian Raudies, Heiko Neumann, Frank SteinerBoosting Ensembles of Weak Classifiers in High Dimensional Input SpacesLudwig Lausser, Friedhelm Schwenker, Hans A. KestlerThe Sampling Theorem in Theory and PracticeWolfgang Arendt, Michal Chovanec, Jürgen Lindner, Robin NittkaCoding and Decoding of Algebraic-Geometric CodesMartin Bossert, Werner Luetkebohmert, Joerg MarhenkeInvestigation of input-output gain in dynamical systems for neural information processingStefano Cardanobile, Michael Cohen, Silvia Corchs, Delio Mugnolo, Heiko NeumannWave Packet Dynamics and FactorizationRuediger Mack, Wolfgang P. Schleich, Daniel Haase, Helmut MaierIsomorphism and factorization - classical and quantumalgorithmsSebastian Doern, Daniel Haase, Jacobo Torán, Fabian WagnerQuickSort from an Information Theoretic ViewBeatrice List, Markus Maucher, Uwe Schöning, Rainer Schuler
About the author
Wolfgang Arendt ist Professor für Analysis an der Universität Ulm. Sein Forschungsgebiet sind Funktionalanalysis und Partielle Differenzialgleichungen.
Summary
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.
