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Autor(en): 
  • Robert Sedgewick
  • Algorithms in C, Parts 1-5: Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2001  
    Genre:  EDV / Informatik 
     
    Algorithmen
    ISBN:  9780201756081 
    EAN-Code: 
    9780201756081 
    Verlag:  Pearson Academic 
    Einband:  Set (Buch und div.)  
    Sprache:  English  
    Serie:  Addison-Wesley  
    Dimensionen:  H 236 mm / B 200 mm / D 64 mm 
    Gewicht:  2160 gr 
    Seiten:  1200 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Software developers and computer scientists have eagerly awaited this comprehensive revision of Robert Sedgewick's landmark texts on algorithms. Sedgewick has completely revamped all five sections, illuminating today's best algorithms for an exceptionally wide range of tasks. This shrink-wrapped package brings together Algorithms in C, Third Edition, Parts 1-4 and his new Algorithms in C, Third Edition, Part 5. Together, these books are definitive: the most up-to-date and practical algorithms resource available. Sedgewick masterfully blends theory and practice, making Bundle of Algorithms in C, Third Edition an essential resource for computer science researchers, students, and working developers alike. The first book introduces fundamental concepts associated with algorithms; then covers data structures, sorting, and searching. The second book focuses entirely on graphing algorithms, which are critical for a wide range of applications, including network connectivity, circuit design, scheduling, transaction processing, and resource allocation. Together, these books present nearly 2,000 new exercises, hundreds of new figures, and dozens of new programs. In both books, Sedgewick focuses on practical applications, giving readers all the information, diagrams, and real (not pseudo-) code they need to confidently implement, debug, and use the algorithms he presents.

      
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