Difference between revisions of "Event: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
 +
|Event Status=as scheduled
 +
|Event Mode=on site
 +
|City=San Diego
 +
|State=CA
 +
|Country=Country:US
 +
|Academic Field=Algorithm
 
|Official Website=https://www.siam.org/conferences/cm/conference/soda19
 
|Official Website=https://www.siam.org/conferences/cm/conference/soda19
 
|Type=Conference
 
|Type=Conference
 
|Submission deadline=2018/07/05
 
|Submission deadline=2018/07/05
 
|Homepage=https://www.siam.org/conferences/cm/conference/soda19
 
|Homepage=https://www.siam.org/conferences/cm/conference/soda19
|City=San Diego
 
|State=CA
 
|Country=Country:US
 
 
|Paper deadline=2018/07/12
 
|Paper deadline=2018/07/12
 
|Submitting link=https://easychair.org/account/signin?l=187i3NKgs7Ick7xZO3wQOL#
 
|Submitting link=https://easychair.org/account/signin?l=187i3NKgs7Ick7xZO3wQOL#
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|pageEditor=User:Curator 19
 
|pageEditor=User:Curator 19
 
|contributionType=1
 
|contributionType=1
|Academic Field=Algorithms
 
|Event Status=as scheduled
 
|Event Mode=on site
 
 
}}
 
}}
 
'''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 10:57, 12 September 2022

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.

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