Algorithmic Techniques for the Polymer Sciences

Book description

This new book—the first of its kind—examines the use of algorithmic techniques to compress random and non-random sequential strings found in chains of polymers. The book is an introduction to algorithmic complexity. Examples taken from current research in the polymer sciences are used for compression of like-natured properties as found on a chain of polymers. Both theory and applied aspects of algorithmic compression are reviewed. A description of the types of polymers and their uses is followed by a chapter on various types of compression systems that can be used to compress polymer chains into manageable units. The work is intended for graduate and postgraduate university students in the physical sciences and engineering.

Table of contents

  1. Front Cover
  2. About the Editor
  3. Preface
  4. Contents
  5. Introduction
  6. Review of the Literature
  7. Chapter 1: Polymers (1/2)
  8. Chapter 1: Polymers (2/2)
  9. Chapter 2: Compression of Data
  10. Chapter 3: Natural Language Compression
  11. Chapter 4: Formal Language Compression
  12. Chapter 5: Types of Compression Programs
  13. Chapter 6: Algorithmic Compression
  14. Chapter 7: Chemical Formulas
  15. Chapter 8: Fischer Projection
  16. Chapter 9: Compression of Polymers
  17. Chapter 10: Line Notation Systems and Compression
  18. Chapter 11: Current Trends in Research
  19. Chapter 12: Big Data
  20. Chapter 13: Modeling Complexity in Molecular Systems: A Revised Edition (1/2)
  21. Chapter 13: Modeling Complexity in Molecular Systems: A Revised Edition (2/2)
  22. Chapter 14: Feedback Systems for Nontraditional Medicines: A Case for the Signal Flow Diagram (1/2)
  23. Chapter 14: Feedback Systems for Nontraditional Medicines: A Case for the Signal Flow Diagram (2/2)
  24. Chapter 15: Chromatic Aspects of the Signal Flow Diagram (1/2)
  25. Chapter 15: Chromatic Aspects of the Signal Flow Diagram (2/2)
  26. Chapter 16: Junction Graphs
  27. Chapter 17: Embedded Symbol Notation Diagrams and Embedded Symbol Notation Matrix Diagrams (1/3)
  28. Chapter 17: Embedded Symbol Notation Diagrams and Embedded Symbol Notation Matrix Diagrams (2/3)
  29. Chapter 17: Embedded Symbol Notation Diagrams and Embedded Symbol Notation Matrix Diagrams (3/3)
  30. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (1/10)
  31. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (2/10)
  32. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (3/10)
  33. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (4/10)
  34. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (5/10)
  35. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (6/10)
  36. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (7/10)
  37. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (8/10)
  38. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (9/10)
  39. Chapter 18: Feedback Theory: Properties of Signal Flow Graphs (10/10)
  40. Chapter 19: An Overview of Signal Flow Graphs (1/2)
  41. Chapter 19: An Overview of Signal Flow Graphs (2/2)
  42. Chapter 20: A Theory on Neurological Systems-Part I and Part II
  43. Chapter 21: A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams (1/4)
  44. Chapter 21: A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams (2/4)
  45. Chapter 21: A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams (3/4)
  46. Chapter 21: A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams (4/4)
  47. Appendix A: A New Foundation for Information (1/2)
  48. Appendix A: A New Foundation for Information (2/2)
  49. Appendix B: Compression and Geometric Data
  50. Appendix C: The Analysis of Binary, Ternary, and Quaternary Based Systems for Communications Theory (1/2)
  51. Appendix C: The Analysis of Binary, Ternary, and Quaternary Based Systems for Communications Theory (2/2)
  52. Appendix D: The Use of a Radix 5 Base for Transmission and Storage of Information (1/2)
  53. Appendix D: The Use of a Radix 5 Base for Transmission and Storage of Information (2/2)
  54. Appendix E: A Comparison of a Radix 2 and a Radix 5 Based Systems (1/2)
  55. Appendix E: A Comparison of a Radix 2 and a Radix 5 Based Systems (2/2)
  56. Appendix F: Random and Non-Random Sequential Strings Using a Radix 5 Based System
  57. Appendix G: A Comparison of Compression Values of Binary and Ternary Base Systems
  58. Appendix H: Patterns within Patternless Sequences
  59. Appendix I: A Radix 4 Based System for Use in Theoretical Genetics
  60. Appendix J: A Compression Program for Chemical, Biological, and Nanotechnologies (1/2)
  61. Appendix J: A Compression Program for Chemical, Biological, and Nanotechnologies (2/2)
  62. Appendix K: Statistical Physics and the Fundamentals of Minimum Description Length and Minimum Message Length (1/2)
  63. Appendix K: Statistical Physics and the Fundamentals of Minimum Description Length and Minimum Message Length (2/2)
  64. Appendix L: The Use of Signal Flow Diagrams in Pharmacology
  65. Appendix M: Signal Flow Diagrams Verses Block Diagrams
  66. Appendix N
  67. Appendix O
  68. Appendix P
  69. A List of the Editor’s Papers on Signal Flow Diagrams
  70. References (1/3)
  71. References (2/3)
  72. References (3/3)

Product information

  • Title: Algorithmic Techniques for the Polymer Sciences
  • Author(s): Bradley S. Tice
  • Release date: October 2014
  • Publisher(s): Apple Academic Press
  • ISBN: 9781466577930