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.

Funding Agency

Funding agencies will be listed here when available.

Themes

Themes and application areas include, but are not limited to, the following topics:

Aspects of Combinatorics and Discrete Mathematics, such as:

Algebra
Combinatorial Structures
Discrete Optimization
Discrete Probability
Finite Metric Spaces
Graph Theory
Mathematical Programming
Number Theory
Random Structures
Topological Problems
Aspects of Computer Science, such as:

Algorithm Analysis and Complexity
Algorithmic Game Theory
Algorithmic Mechanism Design
Combinatorial Scientific Computing
Communication Networks
Computational Geometry
Computer Graphics and Computer Vision
Computer Systems
Cryptography and Computer Security
Data Compression
Data Structures
Databases and Information Retrieval
Distributed and Parallel Computing
Experimental Algorithmics
Graph Algorithms
Internet and Network Algorithms
Machine Learning
On-line Problems
Quantum Computing
Pattern Matching
Robotics
Scheduling and Resource Allocation Problems
Symbolic Computation
Applications in the Sciences and Business such as:

Bioinformatics
Economics
Manufacturing
Finance
Sociology