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樓主: Fibromyalgia
11#
發(fā)表于 2025-3-23 10:36:48 | 只看該作者
12#
發(fā)表于 2025-3-23 16:27:42 | 只看該作者
Some Additional Frameworks,Up to here, we have examined rather closely several basic frameworks for the analysis and display of various types of growth and transfer processes.
13#
發(fā)表于 2025-3-23 20:54:29 | 只看該作者
Phenomena with Variable Growth Coefficients,In nearly all of the preceding sections, we have assumed that the growth or transfer coefficient, ., the crowding coefficient, ., and the carrying capacity, .. = ./., are constants. We now remove these restrictions and assume that, in general, these parameters are functions of time.
14#
發(fā)表于 2025-3-23 23:07:32 | 只看該作者
15#
發(fā)表于 2025-3-24 04:45:10 | 只看該作者
Phenomena with Spatial Diffusion,In all of the previous sections we have considered only those phenomena in which the growth or transfer process has been a function of a single independent variable: time. This point of view resulted in our examination of a number of problems of mathematical interest and practical importance.
16#
發(fā)表于 2025-3-24 06:43:03 | 只看該作者
17#
發(fā)表于 2025-3-24 11:09:30 | 只看該作者
eSport. Sportifizierung und Medienkonvergenzre many situations involving growth phenomena and transfer processes in which the carrying capacity changes with time. A few examples in which .. is time dependent are given below. We assume here and in the ensuing sections that the growth coefficient, ., is constant.
18#
發(fā)表于 2025-3-24 16:17:44 | 只看該作者
Phenomena with Variable Carrying Capacities,re many situations involving growth phenomena and transfer processes in which the carrying capacity changes with time. A few examples in which .. is time dependent are given below. We assume here and in the ensuing sections that the growth coefficient, ., is constant.
19#
發(fā)表于 2025-3-24 22:04:31 | 只看該作者
20#
發(fā)表于 2025-3-25 00:35:25 | 只看該作者
Entropy-based Convergence Measurement in Discrete Estimation of Distribution Algorithms, time point when the generation of new solutions becomes ineffective, can be detected. The proposed termination criterion is inherent to the complexity of used probabilistic models and automatically postpones the termination if inappropriate models are used.
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