Polymer Science

Algorithmic Techniques for the Polymer Sciences
Bradley S. Tice, PhD

Algorithmic Techniques for the Polymer Sciences

Published. Available now.
Pub Date: October 2014
Hardback Price: see ordering info
Hard ISBN: 9781926895390
Paperback ISBN: 978-1-77463-265-9
E-Book ISBN: 9781466577930
Pages: 256 pp. with index
Binding Type: hardbound / ebook / paperback

Now Available in Paperback


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 are 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.

CONTENTS:
Introduction
Literature Review
Chapter 1 Polymers
Chapter 2 Compression of Data
Chapter 3 Natural Language Compression
Chapter 4 Formal Language Compression
Chapter 5 Types of Compression Programs
Chapter 6 Algorithmic Compression
Chapter 7 Chemical Formulas
Chapter 8 Fischer Projection
Chapter 9 Compression of Polymers
Chapter 10 Line Notation Systems and Compression
Chapter 11 Current Trends in Research
Chapter 12 Big Data
Chapter 13 Modeling Complexity in Molecular Systems
Chapter 14 Feedback Systems for Nontraditional Medicines: A Case for the Signal Flow Diagram
Chapter 15 Chromatic Aspects of the Signal Flow Diagram
Chapter 16 Junction Graphs
Chapter 17 Embedded Symbol Notation Diagrams and Embedded Symbol Notation Matrix Diagrams
Chapter 18 Feedback Theory: Properties of Signal Flow Graphs
Samuel J. Mason
Chapter 19 An Overview of Signal Flow
Khoman Phang
Chapter 20 A Theory on Neurological Systems: Part I and Part II
Chapter 21 A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams
Appendixes


About the Authors / Editors:
Bradley S. Tice, PhD
CEO and Institute Professor of Chemistry, Advanced Human Design, California

Dr. Bradley S. Tice is Director and Institute Professor of Chemistry at Advanced Human Design, located in Cupertino, California USA. Dr. Tice is, or has been, a member of the following organizations: American Chemical Society, American Society for Microbiology, Association for Computing Machinery, IEEE, American Physical Society, American Institute of Aeronautics and Astronautics, and the Committee on Space Research (COSPAR), and he is a founding member of The Mars Society.




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