会议信息
WADS 2019: Algorithms and Data Structures Symposium
http://www.wads.org/
截稿日期:
2019-02-20
通知日期:
2019-04-13
会议日期:
2019-08-05
会议地点:
Edmonton, Alberta, Canada
届数:
16
CORE: b   QUALIS: b1   浏览: 16966   关注: 2   参加: 0

征稿
The Algorithms and Data Structures Symposium, WADS, which alternates with the Scandinavian Symposium and Workshops on Algorithm Theory, SWAT, is intended as a forum for researchers in the area of design and analysis of algorithms and data structures.

We invite submissions of papers presenting original research on the theory and application of algorithms and data structures in all areas, including combinatorics, computational geometry, databases, graphics, and parallel and distributed computing.

All proceedings are published in the Springer Verlag series Lecture Notes in Computer Science. Two special issues of papers selected from WADS are planned for the Algorithmica and Computational Geometry: Theory and Applications journals.

Contributors are invited to submit a full paper in Springer LNCS format. The title, abstract, and body of the paper may not exceed 12 pages and the total length including references may not exceed 14 pages. An appendix, beyond the 14 pages, may be added and may be read at the reviewers' discretion. Please format your paper in the Springer Lecture Notes style according to the LNCS Author Instructions.

Submissions must arrive on or before Wednesday, February 20, 2019 at 11:59pm PST (UTC -8). Authors will be notified of acceptance or rejection by April 13, 2019. Proceedings will be published in the Springer Verlag series Lecture Notes in Computer Science. Two special issues of papers selected from WADS are planned for the Algorithmica and Computational Geometry: Theory and Applications journals.

The final versions of accepted papers must arrive in camera-ready form before May 6, 2019 to ensure the availability of the proceedings at the conference.
最后更新 Dou Sun 在 2019-01-21
录取率
时间提交数录取数录取率(%)
20211234738.2%
2019884247.7%
20171094945%
20151485436.5%
20131394431.7%
20111415941.8%
20091264938.9%
20071425438%
2005903741.1%
20031264031.7%
2001894044.9%
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