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.
Introduction. Literature Review. Polymers. Compression of Data. Natural Language Compression. Formal Language Compression. Types of Compression Programs. Algorithmic Compression. Chemical Formulas. Fischer Projection. Compression of Polymers. Line Notation Systems and Compression. Current Trends in Research. Big Data. Modeling Complexity in Molecular Systems. Feedback 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 II. A Theoretical Model of Feedback in Pharmacology Using Signal Flow Diagrams. Appendixes.
Height:
Width:
Spine:
Weight:498.00