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New Directions in Statistical Physics : Econophysics, Bioinformatics, and Pattern Recognition

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Cover of 'New Directions in Statistical Physics : Econophysics, Bioinformatics, and Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Predicting the Direction of a Time Series
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    Chapter 2 On the Variability of Timing in a Spatially Continuous System with Heterogeneous Connectivity
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    Chapter 3 First Passage Time Problem: A Fokker-Planck Approach
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    Chapter 4 First- and Last-Passage Algorithms in Diffusion Monte Carlo
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    Chapter 5 An Updated Review of the LLS Stock Market Model: Complex Market Ecology, Power Laws in Wealth Distribution and Market Returns
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    Chapter 6 Patterns, Trends and Predictions in Stock Market Indices and Foreign Currency Exchange Rates
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    Chapter 7 Toward an Understanding of Financial Markets using Multi-agent Games
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    Chapter 8 Towards Understanding the Predictability of Stock Markets from the Perspective of Computational Complexity
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    Chapter 9 Patterns in Economic Phenomena
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    Chapter 10 New Algorithms and the Physics of Protein Folding
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    Chapter 11 Sequence Alignment in Bioinformatics
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    Chapter 12 Resolution of Some Paradoxes in B-Cell Binding and Activation: A Computer Study
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    Chapter 13 Proliferation and Competition in Discrete Biological Systems
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    Chapter 14 Privacy and Data Exchanges
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    Chapter 15 Statistical Physics and the Clustering Problem
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    Chapter 16 The Challenges of Clustering High Dimensional Data
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    Chapter 17 Some Statistical Physics Approaches for Trends and Predictions in Meteorology
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    Chapter 18 An Initial Look at Acceleration-Modulated Thermal Convection
Attention for Chapter 10: New Algorithms and the Physics of Protein Folding
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Chapter title
New Algorithms and the Physics of Protein Folding
Chapter number 10
Book title
New Directions in Statistical Physics
Published by
Springer, Berlin, Heidelberg, January 2004
DOI 10.1007/978-3-662-08968-2_10
Book ISBNs
978-3-64-207739-5, 978-3-66-208968-2
Authors

Ulrich H. E. Hansmann, Hansmann, Ulrich H. E.

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