Difference between revisions of "SODA 2019"
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|Start date=2019/01/06 | |Start date=2019/01/06 | ||
|End date=2019/01/09 | |End date=2019/01/09 | ||
| + | |Submission deadline=2018/07/05 | ||
| + | |Homepage=https://www.siam.org/conferences/cm/conference/soda19 | ||
|City=San Diego | |City=San Diego | ||
|State=CA | |State=CA | ||
|Country=USA | |Country=USA | ||
| + | |Paper deadline=2018/07/12 | ||
| + | |Submitting link=https://easychair.org/account/signin?l=187i3NKgs7Ick7xZO3wQOL# | ||
|has program chair=Timothy Chan | |has program chair=Timothy Chan | ||
|Submitted papers=591 | |Submitted papers=591 | ||
|Accepted papers=184 | |Accepted papers=184 | ||
|has Proceedings DOI=: https://doi.org/10.1137/1.9781611975482.fm | |has Proceedings DOI=: https://doi.org/10.1137/1.9781611975482.fm | ||
| + | |pageCreator=Britta.Seeberg | ||
| + | |pageEditor=Britta.Seeberg | ||
| + | |contributionType=1 | ||
}} | }} | ||
'''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.'' | ||
Latest revision as of 20:05, 1 April 2022
| SODA 2019 | |
|---|---|
30th Annual ACM-SIAM Symposium on Discrete Algorithms
| |
| 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: | San Diego, CA, USA |
| 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.