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  2. Steven Skiena - Wikipedia

    en.wikipedia.org/wiki/Steven_Skiena

    The Algorithm Design Manual is widely used as an undergraduate text in algorithms and within the tech industry for job interview preparation. [3] In 2001, Skiena was awarded the IEEE Computer Science and Engineering Undergraduate Teaching Award "for outstanding contributions to undergraduate education in the areas of algorithms and discrete ...

  3. Genetic algorithm - Wikipedia

    en.wikipedia.org/wiki/Genetic_algorithm

    In his Algorithm Design Manual, Skiena advises against genetic algorithms for any task: [I]t is quite unnatural to model applications in terms of genetic operators like mutation and crossover on bit strings. The pseudobiology adds another level of complexity between you and your problem.

  4. Algorithmic technique - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_technique

    There are several broadly recognized algorithmic techniques that offer a proven method or process for designing and constructing algorithms. Different techniques may be used depending on the objective, which may include searching, sorting, mathematical optimization, constraint satisfaction, categorization, analysis, and prediction.

  5. Set packing - Wikipedia

    en.wikipedia.org/wiki/Set_packing

    Dictionary of Algorithms and Data Structures, editor Paul E. Black, National Institute of Standards and Technology. Note that the definition here is somewhat different. Steven S. Skiena. "Set Packing". The Algorithm Design Manual. Pierluigi Crescenzi, Viggo Kann, Magnús Halldórsson, Marek Karpinski and Gerhard Woeginger. "Maximum Set Packing".

  6. Talk:Heap (data structure) - Wikipedia

    en.wikipedia.org/wiki/Talk:Heap_(data_structure)

    CLRS describes a MAX-HEAPIFY method in Section 6.2 ("Maintaining the heap property"). Skiena's Algorithm Design Manual, Section 4.3.3 ("Extracting the Minimum") explains "This percolate-down operation is also called heapify, because it merges two heaps (the subtrees below the original root) with a new key."

  7. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    Both algorithms are based on dynamic programming but solve different problems. Sellers' algorithm searches approximately for a substring in a text while the algorithm of Wagner and Fischer calculates Levenshtein distance, being appropriate for dictionary fuzzy search only. Online searching techniques have been repeatedly improved.

  8. What's real and what's fake? In the Native art world, the ...

    www.aol.com/whats-real-whats-fake-native...

    Unlike Slim and Gorman, Denise Rosales has spent her life making and selling beadwork and other art. “My grandma took me to roadside stands, where I sat on a blanket making jewelry,” said ...

  9. Matrix multiplication algorithm - Wikipedia

    en.wikipedia.org/.../Matrix_multiplication_algorithm

    This algorithm transmits O(n 2 /p 2/3) words per processor, which is asymptotically optimal. [30] However, this requires replicating each input matrix element p 1/3 times, and so requires a factor of p 1/3 more memory than is needed to store the inputs. This algorithm can be combined with Strassen to further reduce runtime.

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