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  • 1989
  • In 1989, based on Carrillo-Lipman Algorithm, Altschul introduced a practical method that uses pairwise alignments to constrain the n-dimensional search space. (wikipedia.org)
  • Data
  • Discussions focused on computing research challenges in data center efficiency and sustainability as well as computational issues related to reducing our carbon footprint. (microsoft.com)
  • When hits are evaluated after a search, global positions are mapped into documents and local positions with some algorithm and/or data structure, such as a binary search in the starting/ending positions of the documents. (wikipedia.org)
  • An alternate representation is a suffix array, which is considered to require less virtual memory and supports data compression such as the BWT algorithm. (wikipedia.org)
  • This algorithm parallelizes poorly, due to a large number of data dependencies. (wikipedia.org)
  • Srinivas Aluru is a professor in the School of Computational Science and Engineering at Georgia Institute of Technology, and co-Executive Director for the Georgia Tech Interdisciplinary Research Institute in Data Engineering and Science. (wikipedia.org)
  • Alignment
  • Tree alignment problem is a NP-hard problem when we restrict its scoring mode and alphabet size, and it can be found an algorithm, which uses to find the optimized solution. (wikipedia.org)
  • Depending on its transformation strategy, the combinatorial optimization strategy can be divided into the tree alignment algorithm and the star alignment algorithm. (wikipedia.org)
  • Wagner
  • The Wagner-Fischer algorithm has a history of multiple invention. (wikipedia.org)
  • Early algorithms for on-line approximate matching were suggested by Wagner and Fisher and by Sellers. (wikipedia.org)
  • Sellers' algorithm searches approximately for a substring in a text while the algorithm of Wagner and Fisher calculates Levenshtein distance, being appropriate for dictionary fuzzy search only. (wikipedia.org)
  • statistical
  • Recorded Future's linguistic and statistical algorithms extract time-related information and through temporal reasoning we structure the unstructured. (chalmers.se)
  • include
  • Possible modifications to this algorithm include: We can adapt the algorithm to use less space, O(m) instead of O(mn), since it only requires that the previous row and current row be stored at any one time. (wikipedia.org)
  • running time
  • A quasiperiodic substring is a substring that can be described as concatenations and superpositions of a shorter substring.Our algorithm for nding maximal quasiperiodic substrings has a running time that is a logarithmic factor better than the running time of the existing best algorithm for the problem. (techylib.com)
  • However, this algorithm would have the running time O(n3 m). (wikipedia.org)
  • pattern
  • T[yis a substring of T with the minimal edit distance to the pattern P. Computing the E(x, y) array takes O(mn) time with the dynamic programming algorithm, while the backwards-working phase takes O(n + m) time. (wikipedia.org)
  • With on-line algorithms the pattern can be processed before searching but the text cannot. (wikipedia.org)
  • machine
  • Some mathematical maturity is expected, and a basic course in linear algebra and machine learning (equivalend to TDA 231 Algorithms for Machine Learning & Inference or FFR135 Artificial Neural Networks ) are required before taking this course. (chalmers.se)