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|Start Date=2018/01/07 | |Start Date=2018/01/07 | ||
|End Date=2018/02/10 | |End Date=2018/02/10 | ||
+ | |Event Status=as scheduled | ||
+ | |Event Mode=on site | ||
+ | |City=New Orleans | ||
+ | |State=Louisiana | ||
+ | |Country=Country:US | ||
+ | |Academic Field=Algorithm | ||
|Official Website=https://archive.siam.org/meetings/da18/ | |Official Website=https://archive.siam.org/meetings/da18/ | ||
|Type=Conference | |Type=Conference | ||
|Homepage=https://archive.siam.org/meetings/da18/ | |Homepage=https://archive.siam.org/meetings/da18/ | ||
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|Abstract deadline=2017/07/06 | |Abstract deadline=2017/07/06 | ||
|Paper deadline=2017/07/13 | |Paper deadline=2017/07/13 | ||
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|pageEditor=User:Curator 19 | |pageEditor=User:Curator 19 | ||
|contributionType=1 | |contributionType=1 | ||
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'''Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018)''', held January 7 – 10, 2018 in New Orleans, LA, USA. The Symposium was jointly sponsored by SIGACT (the ACM Special Interest Group on Algorithms and Computation Theory) and by the SIAM Activity Group on Discrete Mathematics. | '''Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018)''', held January 7 – 10, 2018 in New Orleans, LA, USA. The Symposium was jointly sponsored by SIGACT (the ACM Special Interest Group on Algorithms and Computation Theory) and by the SIAM Activity Group on Discrete Mathematics. |
Revision as of 10:57, 12 September 2022
Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018), held January 7 – 10, 2018 in New Orleans, LA, USA. The Symposium was jointly sponsored by SIGACT (the ACM Special Interest Group on Algorithms and Computation Theory) and by the SIAM Activity Group on Discrete Mathematics.
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.
Important Dates
Submissions Deadline Dates
- July 6, 2017, 4:59 PM EDT - Deadline - Short Abstract Submission and Paper Registration Deadline
- July 13, 2017, 4:59 PM EDT - Deadline - Full Paper Submission
Acceptance/rejection notices will be sent to authors via email in early October 2017. All submissions must be in .pdf format and submitted electronically. Submitting authors are encouraged to post their submission on their website.