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  2. Robert Sedgewick (computer scientist) - Wikipedia

    en.wikipedia.org/wiki/Robert_Sedgewick_(computer...

    Download as PDF; Printable version; In other projects ... Sedgewick is the author of twenty books, including Algorithms, ... Algorithms, Fourth Edition (with K. Wayne ...

  3. Analytic Combinatorics (book) - Wikipedia

    en.wikipedia.org/wiki/Analytic_Combinatorics_(book)

    Analytic Combinatorics is a book on the mathematics of combinatorial enumeration, using generating functions and complex analysis to understand the growth rates of the numbers of combinatorial objects. It was written by Philippe Flajolet and Robert Sedgewick, and published by the Cambridge University Press in 2009.

  4. Introduction to Algorithms - Wikipedia

    en.wikipedia.org/wiki/Introduction_to_Algorithms

    This first edition of the book was also known as "The Big White Book (of Algorithms)." With the second edition, the predominant color of the cover changed to green, causing the nickname to be shortened to just "The Big Book (of Algorithms)." [8] The third edition was published in August 2009. The fourth edition was published in April 2022 ...

  5. Analytic combinatorics - Wikipedia

    en.wikipedia.org/wiki/Analytic_combinatorics

    Analytic Combinatorics in Several Variables (PDF). Cambridge University Press. Sedgewick, Robert. "4. Complex Analysis, Rational and Meromorphic Asymptotics" (PDF) Sedgewick, Robert. "8. Saddle-Point Asymptotics" (PDF) Szegő, Gabor (1975). Orthogonal Polynomials (4th ed.). American Mathematical Society.

  6. Heap's algorithm - Wikipedia

    en.wikipedia.org/wiki/Heap's_algorithm

    In a 1977 review of permutation-generating algorithms, Robert Sedgewick concluded that it was at that time the most effective algorithm for generating permutations by computer. [2] The sequence of permutations of n objects generated by Heap's algorithm is the beginning of the sequence of permutations of n+1 objects.

  7. Artificial Intelligence: A Modern Approach - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...