We here present the details of the numerical realization of the recently advanced algorithm developed to identify the fragmentation in heavy ion reactions. This new algorithm is based on the simulated annealing method and is dubbed the simulated annealing clusterization algorithm (SACA). We discuss
Mixture decomposition via the simulated annealing algorithm
β Scribed by Ingrassia, S.
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 481 KB
- Volume
- 7
- Category
- Article
- ISSN
- 8755-0024
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β¦ Synopsis
Abstract
This paper presents the problem of the evaluation of the maximum likelihood estimator, when the likelihood function has multiple maxima, using the stochastic algorithm called βsimulated annealingβ. Analysis of the particular case of the decomposition of a mixture of five univariate normal distributions shows the properties of this methodology with respect to the EβM algorithm. The results are compared considering some distance measures between the estimated distribution functions and the true one.
π SIMILAR VOLUMES
A polynomial decomposition heuristic is developed for the parallel-machine tardiness problem (P//T V ) by extending the decomposition principle embedded in the single-machine tardiness problem (1//T V ) to a parallel-machine setting. The subproblems generated by the decomposition are solved by an ef