UID:
edocfu_9959327334702883
Format:
1 online resource (xxix, 472 pages) :
,
illustrations
ISBN:
9783527628032
,
3527628037
,
9783527628025
,
3527628029
Content:
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.
Note:
Mathematical Analysis of Evolution, Information, and Complexity; Contents; Preface; List of Contributors; Prologue; 1 Weyl's Law; 2 Solutions of Systems of Linear Ordinary Differential Equations; 3 A Scalar-Tensor Theory of Gravity with a Higgs Potential; 4 Relating Simulation and Modeling of Neural Networks; 5 Boolean Networks for Modeling Gene Regulation; 6 Symmetries in Quantum Graphs; 7 Distributed Architecture for Speech-Controlled Systems Based on Associative Memories; 8 Machine Learning for Categorization of Speech Utterances; 9 Semi-Supervised Clustering in Functional Genomics.
Additional Edition:
Print version: Mathematical analysis of evolution, information, and complexity. Weinheim : Wiley-VCH, ©2009 ISBN 9783527408306
Language:
English
Keywords:
Electronic books.
DOI:
10.1002/9783527628025
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9783527628025
