Abstract
Computer simulation (Monte Carlo) methods based on pseudo-random numbers are used to solve certain problems for which analytical solutions are either too complex or impractical. Many processes in real life crucially depend on initial conditions and are so complex that analytical solutions are out of the question. Simulating such processes on the computer often yields useful solutions. For example, transportation departments in large cities routinely simulate street traffic to analyze the causes of traffic congestion or to predict the effects of street closures.
This work was supported by grants from the National Institutes of Mental Health (MH44292), the Muscular Dystrophy Foundation, and the W.M. Keck Foundation
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© 1991 Springer-Verlag Berlin Heidelberg
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Ott, J. (1991). Computer Simulation Methods in Human Linkage Analysis. In: Lynch, H.T., Tautu, P. (eds) Recent Progress in the Genetic Epidemiology of Cancer. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75993-2_13
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DOI: https://doi.org/10.1007/978-3-642-75993-2_13
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