Contents

pp.：  7 – 17

Preface

pp.：  17 – 21

List of Contributors

pp.：  21 – 25

Prologue

pp.：  25 – 33

1 Weyl’s Law

pp.：  33 – 105

2 Solutions of Systems of Linear Ordinary Differential Equations

pp.：  105 – 131

3 A Scalar–Tensor Theory of Gravity with a Higgs Potential

pp.：  131 – 169

4 Relating Simulation and Modeling of Neural Networks

pp.：  169 – 189

5 Boolean Networks for Modeling Gene Regulation

pp.：  189 – 213

6 Symmetries in Quantum Graphs

pp.：  213 – 229

7 Distributed Architecture for Speech-Controlled Systems Based on Associative Memories

pp.：  229 – 251

8 Machine Learning for Categorization of Speech Utterances

pp.：  251 – 275

9 Semi-Supervised Clustering in Functional Genomics

pp.：  275 – 305

10 Image Processing and Feature Extraction from a Perspective of Computer Vision and Physical Cosmology

pp.：  305 – 343

11 Boosting Ensembles of Weak Classifiers in High Dimensional Input Spaces

pp.：  343 – 365

12 The Sampling Theorem in Theory and Practice

pp.：  365 – 387

13 Coding and Decoding of Algebraic–Geometric Codes

pp.：  387 – 411

14 Investigation of Input–Output Gain in Dynamical Systems for Neural Information Processing

pp.：  411 – 427

15 Wave Packet Dynamics and Factorization

pp.：  427 – 465

16 Isomorphism and Factorization – Classical and Quantum Algorithms

pp.：  465 – 487

17 QuickSort from an Information Theoretic View

pp.：  487 – 497

Index

pp.：  497 – 504