Expert systems and fuzzy systems
Expert systems and fuzzy systems
A review of recent developments in solving ODEs
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
GAMS: a framework for the management of scientific software
ACM Transactions on Mathematical Software (TOMS)
NAXPERT: a prototype expert system for numerical software
SIAM Journal on Scientific and Statistical Computing
ACM Transactions on Mathematical Software (TOMS)
A knowledge-based framework for the selection of mathematical software
A knowledge-based framework for the selection of mathematical software
The PORT Mathematical Subroutine Library
ACM Transactions on Mathematical Software (TOMS)
Initial Value Routines in the NAG Library
ACM Transactions on Mathematical Software (TOMS)
NITPACK: An Interactive Tree Package
ACM Transactions on Mathematical Software (TOMS)
Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes
ACM Transactions on Mathematical Software (TOMS) - Special issue in honor of John Rice's 65th birthday
Note on generalization in experimental algorithmics
ACM Transactions on Mathematical Software (TOMS)
Mining and visualizing recommendation spaces for PDE solvers: the continuous attributes case
Computational science, mathematics and software
Statistical Models for Empirical Search-Based Performance Tuning
International Journal of High Performance Computing Applications
A Simulation and Decision Framework for Selection of Numerical Solvers in
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
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Current approaches to recommending mathematical software are qualitative and categorical. These approaches are unsatisfactory when the problem to be solved has features that can “trade-off” in the recommendation process. A quantitative system is proposed that permits tradeoffs and can be built and modified incrementally. This quantitative approach extends other knowledge-engineering techniques in its knowledge representation and aggregation facilities. The system is demonstrated on the domain of ordinary differential equation initial value problems. The results are significantly superior to an existing qualitative (decision tree) system.