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Algorithms Illuminated (Part 2) - Tim Roughgarden - Bog

- Graph Algorithms and Data Structures

Bag om Algorithms Illuminated (Part 2)

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details---like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. Part 2 covers graph search and applications, shortest paths, and the usage and implementation of several data structures (heaps, search trees, hash tables, and bloom filters).

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780999282922
  • Indbinding:
  • Paperback
  • Sideantal:
  • 222
  • Udgivet:
  • 8. august 2018
  • Størrelse:
  • 153x228x20 mm.
  • Vægt:
  • 312 g.
Leveringstid: 8-11 hverdage
Forventet levering: 15. januar 2025
Forlænget returret til d. 31. januar 2025
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Beskrivelse af Algorithms Illuminated (Part 2)

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details---like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. Part 2 covers graph search and applications, shortest paths, and the usage and implementation of several data structures (heaps, search trees, hash tables, and bloom filters).

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