ACM-SIAM Symposium on Discrete Algorithms
 

SIAM Conference



ACM-SIAM Symposium on Discrete Algorithms (SODA20)

January 5 - 8, 2020

Hilton Salt Lake City Center | Salt Lake City, Utah, U.S.

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About the Conference


About the Conference

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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.

SIAM Symposium on Algorithm Engineering and Experiments (ALENEX20)SIAM Symposium on Simplicity in Algorithms (SOSA20), SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS20), and the Theory Underlying Algorithms Workshop (TUNGA) will take place at the same location.

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

Included Themes


Included Themes

Aspects of combinatorics and discrete mathematics, such as:

  • Combinatorial structures
  • Discrete optimization
  • Discrete probability
  • Finite metric spaces
  • Graph theory
  • Mathematical programming
  • Random structures
  • Topological problems

Core topics in discrete algorithms, such as:

  • Algorithm analysis
  • Data structures
  • Experimental algorithmics

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

  • Combinatorial scientific computing
  • Communication networks and the Internet
  • Computational geometry and topology
  • Computer graphics and computer vision
  • Computer systems
  • Cryptography and security
  • Databases and information retrieval
  • Data compression
  • Data privacy
  • Distributed and parallel computing
  • Game theory and mechanism design
  • Machine learning
  • Quantum computing

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