The “Runge/geometric” parameter β is so named because this variation of width-with-N is necessary to obtain a geometric rate of convergence as explained further below. β also controls the size of the Runge Zone D(β) in the complex x-plane as illustrated in [9]. The “relative” wi...
The convergence time of the genetic algorithm, the seasonality behaviour of VMs and smoothing data are challenging. In Bobroff et al. (2007), the periodogram is used to identify the dominant periods or frequencies of the time series of the resource demand. After identifying the periodic ...
- 《Journal of Convergence Information Technology》 被引量: 0发表: 2012年 Pupil interval measuring instrument needless of movable part PURPOSE: To measure a pupil interval by compositing the main axis to be vertical to a near-plane of human face and this plane with reference to a human pos....
Obviously, CPSO gets a better ftness value and a higher rate of convergence. Because of the diferent random numbers, the optimal interval chosen for each run is not exactly the same. Te RMSECVs were calculated 50 times, and the frequency distribution was obtained to evaluate the importance ...
Numerical experiments show that new formulae inherit nice features of the C-C rule and its four analogs. For large h, the convergence rates are twice as fast as the asymptotic rates for small h. The kink phenomenon that is explained in the C-C rule and Fejér's first rule appears in ...
Firstly, we checked that all participants followed the metronome during both Test and Retest sessions as has been explained in 2.5. Only one participant was excluded from the study for not following the breathing instructions. The mean of the actual breathing rates from the included participants ...
E., and Csendes, T.: ‘Convergence speed of interval methods for global optimization and the joint effects of algorithmic modifications’, Talk given at SCAN'95, Wuppertal, Germany, Sept. 26–29, 1995, 1995. Hansen, E. R.: Global optimization using interval analysis, M. Dekker, 1992. ...
If you find convergence issues when usingnlto solve these problems, you might try usingmlinstead, as explained instata.com/support/faqs/statistics/regression-with-interval-constraints. Usingmlwould allow you to specify analytical derivatives and to have better control of your optimization process....
(9)–(17). Considering GA exhibits a fine global convergence and only needs the information of functional values, it is employed as the optimization operator for the GSA. The population size, crossover fraction and migration fraction are set as 50, 0.9, and 0.3, respectively, and the ...
Adam has shown a superior convergence speed than SGD in a variety of deep learning tasks. However, it is hard to combine the compression and such non-linear gradient-based optimization algorithms together. Although error compensation is a common and effective technique in compression, it cannot be...