Diese Reihe taucht in die komplexe Welt der Algorithmen ein, von grundlegenden Konzepten bis hin zu fortgeschrittenen Techniken. Jeder Band bietet einen zugänglichen Ansatz zur Bewältigung komplexer Berechnungsprobleme und behandelt wichtige Bereiche wie Datenstrukturen, Graphenalgorithmen und Strategien für NP-schwere Probleme. Es ist eine ideale Ressource für alle, die ihr Verständnis von Rechenkomplexität und effizienten algorithmischen Lösungen vertiefen möchten.
Algorithms Illuminated is an accessible introduction to algorithms for anyone with at least a little programming experience, based on a sequence of popular online courses. Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms, randomized algorithms, and several famous algorithms for sorting and selection.
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).
Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Part 3 covers greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, shortest paths, optimal search trees).