Algorithmic mathematics

Algebraic, symbolic, and symbolic-numeric algorithms including: simplification, polynomial and rational function manipulations, algebraic equations, summation, integration, linear algebra and matrix computations, number theory, ODE/PDE, complex computation, group computations, and geometric computing.

Computer science

Theoretical and practical problems in symbolic mathematical computation including: computer algebra systems, problem solving environments, programming languages and libraries for symbolic computation, user interfaces, data structures, software architectures, parallel/distributed computing, mapping algorithms to architectures, concrete analysis and benchmarking, complexity of computer algebra algorithms, artificial intelligence techniques, automatic differentiation and code generation, mathematical data exchange protocols.


Problem treatments incorporating algebraic, symbolic or symbolic-numeric computation in an essential or novel way, including engineering, economics and finance, physical and biological sciences, computer science, logic, mathematics, statistics, and use in education.
Last modified: Mon Sep 25 23:06:37 EDT 2000