中文簡介

自然與社會離散動力學(DDNS)的主要目標是促進與自然和社會科學中遇到的復雜系統離散動力學相關的基礎研究和應用研究之間的聯系。離散動力學反映了利用差分方程系統的迭代數學模型來描述復雜系統行為的新趨勢。從離散建模的最新發展可以明顯看出，這種模型具有更簡單的結構，并為生成和描述復雜的非線性現象(包括混沌狀態和分形)提供了更多的可能性。然而，這種離散數學方法的進一步發展受到缺乏一般原理的限制，這些一般原理可以在物理學中發揮與變分原理相同的作用。DDNS的目的是闡述這樣一個原則，這將有助于更好地理解“離散”的確切含義。時間和空間，并創造了一個新的微積分離散復雜動力學。這一一般原則應該為差分方程的進一步應用提供直接的構造，就像在惰性物質的經典力學中所發生的那樣，差分方程可以進一步用于復雜、生活和思維系統的數學建模。該雜志旨在刺激專門針對計算機生成的解決方案和混沌分析的出版物，特別是正確的數值程序，混沌同步和控制，離散優化方法等相關主題。該雜志將為從事復雜系統分析領域的科學家和實踐者提供交流渠道，并將促進離散動力方法的發展和使用。

　　英文簡介

The main objective of Discrete Dynamics in Nature and Society (DDNS) is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. Discrete dynamics reflects a new emerging tendency towards utilization of iterative mathematical models systems of difference equations to describe the behavior of complex systems. It has became clear from the latest development in discrete modeling that such models have a simpler structure and provide many more possibilities for generating and describing complex non-linear phenomena, including chaotic regimes and fractals. However, further developments in such a discrete mathematical approach are restricted by the absence of general principles that could play the same role as the variational principles in physics. DDNS aims to elaborate such a principles, which are expected to lead to a better understanding of the exact meaning of ?discrete? time and space, and, to the creation of a new calculus for discrete complex dynamics. This general principles should provide direct construction of difference equations for their further use in mathematical modeling of complex, living and thinking systems as it was happened in classical mechanics for the inert matter. The journal intend to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal will provide a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.

　　近年期刊自引率趨勢圖

　　JCR分區

JCR分區等級	JCR所屬學科	分區	影響因子
Q3	MULTIDISCIPLINARY SCIENCES	Q3	1.457
	MATHEMATICS, INTERDISCIPLINARY APPLICATIONS	Q3

　　近年期刊影響因子趨勢圖

　　CiteScore數值

CiteScore	SJR	SNIP	學科類別	分區	排名	百分位
1.60	0.274	0.568	大類：Mathematics 小類：Modeling and Simulation	Q3	219 / 303	27%

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