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SODA 2023 : Symposium on Discrete Algorithms

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Conference Series : Symposium on Discrete Algorithms
 
Link: https://siam.org/conferences/cm/conference/soda23
 
When Jan 22, 2023 - Jan 25, 2023
Where Florence, Italy
Abstract Registration Due Jul 10, 2022
Submission Deadline Jul 16, 2022
Notification Due Oct 10, 2022
Final Version Due Oct 30, 2022
Categories    theory   algorithms   complexity
 

Call For Papers

SODA is sponsored by the SIAM Activity Group on Discrete Mathematics and the ACM Special Interest Group on Algorithms and Computation Theory.

This symposium focuses on research topics related to design and analysis of efficient algorithms and data structures for discrete problems.

The scope includes theoretical analysis, as well as experimental validation, and the mathematical problems related to their development or limitations. The scope also includes aspects of combinatorics and discrete mathematics related to discrete algorithms. Papers that raise important algorithmic problems that can benefit from theoretical investigation and analysis, are encouraged.

The following meetings will be held jointly:
ACM-SIAM Symposium on Discrete Algorithms (SODA23)
Algorithm Engineering and Experiments (ALENEX23)
SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS23)
SIAM Symposium on Simplicity in Algorithms (SOSA23)

Included Themes

Aspects of combinatorics and discrete mathematics, such as:

Combinatorial structures
Discrete optimization
Graph theory
Random structures

Core topics in discrete algorithms, such as:

Algorithm analysis
Data structures
Experimental algorithmics
Lower bounds
Mathematical programming

Algorithmic aspects of other areas of computer science, such as:

Algorithmic fairness
Combinatorial scientific computing
Communication networks and the internet
Computational geometry and topology
Computer systems
Cryptography, security and privacy
Databases and information retrieval
Distributed and parallel computing
Game theory and mechanism design
Machine learning
Quantum computing
Scheduling and resource allocation

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