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Autor(en): 
  • Tom Jenkyns
  • Ben Stephenson
  • Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2018  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / B / computer science / Computer science—Mathematics / Discrete Mathematics in Computer Science / Maths for computer scientists
    ISBN:  9783319701509 
    EAN-Code: 
    9783319701509 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Undergraduate Topics in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  801 gr 
    Seiten:  512 
    Illustration:  XIII, 512 p. 120 illus., schwarz-weiss Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.

    This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).

    Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question.

    Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.

      



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