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Numerical Solution of Models

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Abstract

The ultimate goal of much performance analysis is to generate numerical performance results for a particular system under specific conditions. These can take the form of tables or a set of performance curves. There are a variety of numerical techniques available, ranging from the brute force solution of the state equations to clever algorithms to Monte Carlo type simulation. With all these techniques the cost of solution in terms of solution time and computer memory requirements are important considerations. The cost of solving a system of even moderate complexity may be prohibitively expensive for a particular technique and computer installation. There is a tradeoff between our ability to model and our ability to solve such models. There is thus an advantage to simplified models that capture the most important aspects of the system in question.

Keywords

Service Rate Normalization Constant Queueing Network Infinitesimal Perturbation Analysis Convolution Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  1. 1.Department of Electrical EngineeringSUNY Stony BrookStony BrookUSA

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