Julius T. Tou

Advances in Information Systems Science

Volume 6

• Broschiertes Buch

Produktbeschreibung

Information systems science is rapidly advancing in many directions. Di versified ideas, methodologies, and techniques as well as applications have been conceived and developed. This series intends to discuss some of the recent advances in this field. In this volume, we cover four timely topics which are of great current interest. In each chapter, an attempt is made to familiarize the reader with some basic background information on the ad vances discussed. The emphasis of this volume is placed upon parallel pro gramming, data structure models in information system design, and the principles of L systems. One of the effective means to enhance computation performance is parallel information processing on multiprocessor systems. In Chapter I, V. E. Kotov discusses the practical aspects of parallel programming. He is concerned with the languages and methods of parallel programming, per formance an~lysis, and automatic synthesis of parallel programs. In Chapter 2, A. S. Narin'yani presents the formal theory of parallel computations. These two chapters attempt to correlate and classify various methods in parallel programming, thus providing the reader with a unified approach to this important subject matter. Data structures play an important role in information system design.

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Produktdetails

• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4615-8251-9
• Softcover reprint of the original 1st ed. 1976
• Seitenzahl: 224
• Erscheinungstermin: 30. Januar 2012
• Englisch
• Abmessung: 229mm x 152mm x 13mm
• Gewicht: 332g
• ISBN-13: 9781461582519
• ISBN-10: 1461582512
• Artikelnr.: 41321285

Inhaltsangabe

1 Theory of Parallel Programming. I. Survey of Practical Aspects.- 1. Introduction.- 2. Parallel Programming Languages and Methods.- 3. Scheduling Problems for Parallel Programs.- 4. Automatic Construction of Parallel Programs.- 2 Theory of Parallel Programming. II. Survey of Formal Models.- 1. Introduction.- 2. The Memory.- 3. The Operator and Database.- 4. Computational Processes.- 5. The Metamodel.- 6. The Control.- 7. Equivalence of Computational Processes.- 8. Determinacy of Metasystems.- 9. Equivalence of Metasystems.- 10. Asynchronism.- 11. Programs and Systems.- 12. Conclusions.- 3 Data Structure Models in Information System Design.- 1. Data Morphology.- 2. Data Structure Models for Simple Information Retrieval.- 3. Data Structures for Information Systems of Flexible Use.- 4. Conclusions.- 4 The Mathematical Theory of L Systems.- 0. Introduction.- 2. Squeezing Languages out of L Systems.- 3. Fitting Classes of L Languages into Known Formal Language Theoretic Framework.- 4. Other Characterizations of Classes of L Languages within the Framework of Formal Language Theory.- 5. Structural Constraints on L Systems.- 6. Squeezing Sequences out of L Systems.- 7. Growth Functions.- 8. Decision Problems.- 9. Global Versus Local Behavior of L Systems.- 10. Deterministic Versus Nondeterministic Behavior of L Systems.- 11. L Transformations.- 12. Getting Down to Properties of Single L Languages or Sequences.- 13. Generalizing L System Ideas: Toward a Uniform Framework.- 14. Some Proof Techniques.- 15. Conclusions.