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 chai
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 chaiHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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.
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