The design and analysis of spatial data structures
The design and analysis of spatial data structures
Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
Computer as Thinker/Doer: Problem-Solving Environments for Computational Science
IEEE Computational Science & Engineering
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Direct search methods: then and now
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
Emerging scientific applications in data mining
Communications of the ACM - Evolving data mining into solutions for insights
Dynamic Data Structures for a Direct Search Algorithm
Computational Optimization and Applications
WISE Design of Indoor Wireless Systems: Practical Computation and Optimization
IEEE Computational Science & Engineering
Fast Computational Techniques for Indoor Radio Channel Estimation
Computing in Science and Engineering
S4W: Globally Optimized Design of Wireless Communications Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
BSML: A binding schema markup language for data interchange in problem solving environments
Scientific Programming
Cross-layer design for wireless networks
IEEE Communications Magazine
Unification of problem solving environment implementation layers with XML-based specifications
Advances in Engineering Software
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This paper describes the computational methodologies of two problem solving environments (PSEs) for wireless network design and analysis, one academic (S4W) and one commercial (SitePlanner®). The PSEs address differently common computational issues such as environment specification, propagation modeling, channel performance prediction, system design optimization, and data management. The intended uses, interfaces, and capabilities of the two PSEs are compared and contrasted in a common framework. An important future direction, for these two and all future wireless system design PSEs, is resolving the fundamental 'impedance mismatch' between physical channel modeling and upper level protocol modeling in wireless networks.