Difference between revisions of "SODA 2019"
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|has Proceedings DOI=: https://doi.org/10.1137/1.9781611975482.fm | |has Proceedings DOI=: https://doi.org/10.1137/1.9781611975482.fm | ||
|Acronym=SODA 2019 | |Acronym=SODA 2019 | ||
− | |End date=2019 | + | |End date=2019-01-09 |
|Series=SODA | |Series=SODA | ||
|Type =Conference | |Type =Conference | ||
Line 13: | Line 13: | ||
|State=US/CA | |State=US/CA | ||
|City =US/CA/San Diego | |City =US/CA/San Diego | ||
+ | |Year =2019 | ||
|Homepage=https://www.siam.org/conferences/cm/conference/soda19 | |Homepage=https://www.siam.org/conferences/cm/conference/soda19 | ||
− | |Start date=2019 | + | |Start date=2019-01-06 |
|Title=30th Annual ACM-SIAM Symposium on Discrete Algorithms | |Title=30th Annual ACM-SIAM Symposium on Discrete Algorithms | ||
|Accepted papers=184 | |Accepted papers=184 |
Latest revision as of 02:25, 6 December 2021
Event Rating
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List of all ratings can be found at SODA 2019/rating
SODA 2019 | |
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30th Annual ACM-SIAM Symposium on Discrete Algorithms
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Event in series | SODA |
Dates | 2019-01-06 (iCal) - 2019-01-09 |
Homepage: | https://www.siam.org/conferences/cm/conference/soda19 |
Submitting link: | https://easychair.org/account/signin?l=187i3NKgs7Ick7xZO3wQOL# |
Location | |
Location: | US/CA/San Diego, US/CA, US |
Important dates | |
Papers: | 2018/07/12 |
Submissions: | 2018/07/05 |
Papers: | Submitted 591 / Accepted 184 (31.1 %) |
Committees | |
PC chairs: | Timothy Chan |
Table of Contents | |
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.