Kód: 18201359
In many numerical tests, Nelder-Mead (NM) method succeeds in obtaining a good reduction in the function value using a relatively small number of function evaluations. Generally, the microarray gene expression data dimension is hig ... celý popis
Angličtina
32.10 €
Bežne: 37.70 €
Ušetríte 5.60 €

Nákupom získate 78 bodov
Anotácia knihy
In many numerical tests, Nelder-Mead (NM) method succeeds in obtaining a good reduction in the function value using a relatively small number of function evaluations. Generally, the microarray gene expression data dimension is high. However, when optimizing high dimensional problems, Nelder-Mead method suffers from poor convergence rate and early restart. To overcome this problem and to increase the global search area, the Modified Nelder-Mead (MNM) is proposed. In the proposed work, the expansion step is replaced by a new step called spread out. It is processed based on the assumption that a better point will be available apart from the best and good point. This may increase the global search considerably and will result in a better solution.
Parametre knihy
32.10 €
AngličtinaOsobný odber Bratislava a 12840 dalších
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