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|Official Website=https://www.siam.org/conferences/cm/conference/soda19 | |Official Website=https://www.siam.org/conferences/cm/conference/soda19 | ||
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'''2019 Annual ACM-SIAM Symposium on Discrete Algorithms''' | '''2019 Annual ACM-SIAM Symposium on Discrete Algorithms''' | ||
''This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Performance analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have arisen in practice and may address methodological issues involved in performance analysis.'' | ''This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Performance analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have arisen in practice and may address methodological issues involved in performance analysis.'' |
Revision as of 14:02, 24 August 2022
The document "SODA 2019" was published on "2023-08-04T11:50:41" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:SODA 2019.
The document "SODA 2019" describes an event in the sense of a conference.
The document "SODA 2019" contains information about the event "SODA 2019" with start date "2019/01/06" and end date "2019/01/09".
The event "SODA 2019" is part of the event series identified by [[Event Series:SODA]]
2019 Annual ACM-SIAM Symposium on Discrete Algorithms
This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Performance analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have arisen in practice and may address methodological issues involved in performance analysis.