Algorithmic Techniques for the Polymer Sciences

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.

IntroductionLiterature ReviewPolymersCompression of DataNatural Language CompressionFormal Language CompressionTypes of Compression ProgramsAlgorithmic CompressionChemical FormulasFischer ProjectionCompression of PolymersLine Notation Systems and CompressionCurrent Trends in ResearchBig DataModeling Complexity in Molecular SystemsFeedback Systems for Nontraditional Medicines: A Case for the Signal Flow Diagram Chromatic Aspects of the Signal Flow Diagram Junction Graphs Embedded Symbol Notation Diagrams and Embedded Symbol Notation Matrix Diagrams Feedback Theory: Properties of Signal Flow Graphs (From Appendix L)An Overview of Signal Flow A Theory on Neurological Systems: Part I and Part IIA Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams Appendixes

Dr. Bradley Tice is institute professor of chemistry at Advanced Human Design, located in the Central Valley of Northern California, USA. Advanced Human Design is a research and development company with a focus on telecommunications, computing, and materials science. Dr. Tice is a Fellow of The Royal Statistical Society, a member of The Royal Pharmaceutical Society, and a Fellow of the British Computer Society. Dr. Tice is also CEO of Tice Pharmaceuticals that is located in San Jose, California U.S.A.