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Autor(en): 
  • Wu Yonghui
  • Wang Jiande
  • Data Structure Practice: for Collegiate Programming Contests and Education 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Februar 2016  
    Genre:  EDV / Informatik 
     
    ACM-ICPC;Computing;Data structure;Programming contests / advanced data structures / Algorithms & data structures / algorithms and data structures / Computational complexity / COMPUTERS / Database Administration & Management / COMPUTERS / Languages / General / COMPUTERS / Programming / Algorithms
    ISBN:  9781482215397 
    EAN-Code: 
    9781482215397 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D  
    Gewicht:  1065 gr 
    Seiten:  496 
    Illustration:  schwarz-weiss Illustrationen, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Combining knowledge with strategies, Data Structure Practice for Collegiate Programming Contests and Education presents the first comprehensive book on data structure in programming contests. This book is designed for training collegiate programming contest teams in the nuances of data structure and for helping college students in computer-related majors to gain deeper understanding of data structure.

    Based on successful experiences in many world-level contests, the book includes 204 typical problems and detailed analyses selected from the ACM International Collegiate Programming Contest and other major programming contests since 1990. It is divided into four sections that focus on:

    • Fundamental programming skills
    • Experiments for linear lists
    • Experiments for trees
    • Experiments for graphs

    Each chapter contains a set of problems and includes hints. The book also provides test data for most problems as well as sources and IDs for online judgments that help with improving programming skills.

    Introducing a multi-options model and considerations of context, Data Structure Practice for Collegiate Programming Contests and Education encourages students to think creatively in solving programming problems. By taking readers through practical contest problems from analysis to implementation, it provides a complete source for enhancing understanding and polishing skills in programming.

      



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