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Algorithms Illuminated (Part 2)

- Graph Algorithms and Data Structures

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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  • Språk:
  • Engelska
  • ISBN:
  • 9780999282922
  • Format:
  • Häftad
  • Sidor:
  • 222
  • Utgiven:
  • 8. augusti 2018
  • Mått:
  • 153x228x20 mm.
  • Vikt:
  • 312 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 24. januari 2025
Förlängd ångerrätt till 31. januari 2025
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Beskrivning av 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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