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Logic Functions and Equations [electronic resource] : Binary Models for Computer Science /

By: Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 2nd ed. 2019Description: XVI, 508 p. 367 illus., 54 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030024208
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.395 23
LOC classification:
  • QA76.9.L63
  • TK7888.4
Online resources:
Contents:
Part I Theoretical Foundations -- 1. Basic Algebraic Structures -- 2. Logic Functions -- 3. Logic Equations -- 4. Boolean Differential Calculus -- 5. Sets, Lattices, and Classes of Logic Functions -- Part II Applications -- 6. Logic, Arithmetic, and Special Functions -- 7. SAT-Problems -- 8. Extremely Complex Problems -- 9. Combinational Circuits -- 10. Sequential Circuits -- References -- Index.
In: Springer Nature eBookSummary: The expanded and updated 2nd edition of this classic text offers the reader a comprehensive introduction to the concepts of logic functions and equations and their applications across computer science. The approach emphasizes a thorough understanding of the fundamental principles as well as numerical and computer-based solution methods. Updated throughout, some major additions for the 2nd edition include: - an expanded introductory section on logic equations; - a new chapter on sets, lattices, and classes of logic functions; - a new chapter about SAT-problems; - a new chapter about methods to solve extremely complex problems; and -an expanded section with new decomposition methods utilizing the Boolean Differential Calculus extended to lattices of logic functions. The book provides insight into applications across binary arithmetic, coding, complexity, logic design, programming, computer architecture, and artificial intelligence. Based on the extensive teaching experience of the authors, Logic Functions and Equations is highly recommended for a one- or two-semester course in computer science and related programs. It provides straightforward high-level access to these methods and enables sophisticated applications, elegantly bridging the gap between mathematics and the theoretical foundations of computer science.
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Part I Theoretical Foundations -- 1. Basic Algebraic Structures -- 2. Logic Functions -- 3. Logic Equations -- 4. Boolean Differential Calculus -- 5. Sets, Lattices, and Classes of Logic Functions -- Part II Applications -- 6. Logic, Arithmetic, and Special Functions -- 7. SAT-Problems -- 8. Extremely Complex Problems -- 9. Combinational Circuits -- 10. Sequential Circuits -- References -- Index.

The expanded and updated 2nd edition of this classic text offers the reader a comprehensive introduction to the concepts of logic functions and equations and their applications across computer science. The approach emphasizes a thorough understanding of the fundamental principles as well as numerical and computer-based solution methods. Updated throughout, some major additions for the 2nd edition include: - an expanded introductory section on logic equations; - a new chapter on sets, lattices, and classes of logic functions; - a new chapter about SAT-problems; - a new chapter about methods to solve extremely complex problems; and -an expanded section with new decomposition methods utilizing the Boolean Differential Calculus extended to lattices of logic functions. The book provides insight into applications across binary arithmetic, coding, complexity, logic design, programming, computer architecture, and artificial intelligence. Based on the extensive teaching experience of the authors, Logic Functions and Equations is highly recommended for a one- or two-semester course in computer science and related programs. It provides straightforward high-level access to these methods and enables sophisticated applications, elegantly bridging the gap between mathematics and the theoretical foundations of computer science.

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