Computer Arithmetics for Nanoelectronics
eBook - PDF

Computer Arithmetics for Nanoelectronics

  1. 780 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computer Arithmetics for Nanoelectronics

About this book

Emphasizes the Basic Principles of Computational Arithmetic and Computational Structure Design Taking an interdisciplinary approach to the nanoscale generation of computer devices and systems, Computer Arithmetics for Nanoelectronics develops a consensus between computational properties provided by data structures and phenomenological properties of nano and molecular technology.

Covers All Stages of the Design Cycle, from Task Formulation to Molecular-Based Implementation The book introduces the theoretical base and properties of various data structures, along with techniques for their manipulation, optimization, and implementation. It also assigns the computational properties of logic design data structures to 3D structures, furnishes information-theoretical measures and design aspects, and discusses the testability problem. The last chapter presents a nanoscale prospect for natural computing based on assorted computing paradigms from nature.

Balanced Coverage of State-of-the-Art Concepts, Techniques, and Practices
Up-to-date, comprehensive, and pragmatic in its approach, this text provides a unified overview of the relationship between the fundamentals of digital system design, computer architectures, and micro- and nanoelectronics.

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Yes, you can access Computer Arithmetics for Nanoelectronics by Vlad P. Shmerko, Svetlana N. Yanushkevich, Sergey Edward Lyshevski in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Computer Arithmetics for Nanoelectronics
  3. Copyright
  4. Dedication
  5. Table of Contents
  6. Preface
  7. 1. Introduction
  8. 2. Computational Nanostructures
  9. 3. Binary Arithmetic
  10. 4. Residue Arithmetic
  11. 5. Graph-Based Data Structures
  12. 6. Foundation of Boolean Data Structures
  13. 7. Boolean Data Structures
  14. 8. Fundamental Expansions
  15. 9. Arithmetic of the Polynomials
  16. 10. Optimization of Computational Structures
  17. 11. Multivalued Data Structures
  18. 12. Computational Networks
  19. 13. Sequential Logic Networks
  20. 14. Memory Devices for Binary Data
  21. 15. Spatial Computing Structures
  22. 16. Linear Cellular Arrays
  23. 17. Information and Data Structures
  24. 18. Design for Testability
  25. 19. Error Detection and Error Correction
  26. 20. Natural Computing
  27. Back Cover