期刊信息

Discrete Dynamics in Nature and Society

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影响因子:
1.2
出版商:
Hindawi
ISSN:
1026-0226
浏览:
26380
关注:
0

征稿

Discrete Dynamics in Nature and Society is an academic journal published by Hindawi. (ISSN 1026-0226, impact factor 1.2).

Aims and scope 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. Discrete Dynamics in Nature and Society aims to elaborate such 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. These 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 intends 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. Discrete Dynamics in Nature and Society will publish original, high-quality, research papers. In addition there will be regular editorials, invited reviews, a letters section and a news section containing information on future events, and book reviews.
由 Dou Sun 最后更新于

Special Issues

Special Issue on Next-Generation Mathematical Solving: Applied Mathematics in Action 截稿日期: 2026-11-30 Description Introduction Mathematics is at the heart of innovation, powering solutions to some of the most complex challenges across science, engineering, and society. The Special Collection on “Next-Generation Mathematical Solving: Applied Mathematics in Action” invites contributions that showcase how advanced modelling, rigorous analysis, and solver design can transform real-world problem-solving. This initiative highlights research that goes beyond theory—delivering practical, measurable impact through mathematical reasoning and computation. We welcome interdisciplinary approaches, creative modelling strategies, and studies that demonstrate the power of applied mathematics in driving progress across diverse domains. Scope and Objectives This special collection invites contributions that represent the next generation of mathematical solving, integrating modelling, analysis, and solver design to address complex real-world problems. We aim to bring together studies that demonstrate how mathematical methods and solvers design can improve understanding, performance, and decision-making across disciplines. We particularly welcome contributions from early-career researchers, interdisciplinary teams, and those proposing creative modelling approaches to complex systems. This collection highlights researchers and practitioners who use applied mathematics not only to describe systems, but to deliver concrete, measurable solutions. Whether your work addresses engineering or industrial systems, biological processes, social dynamics, or solving frameworks with practical implications, we are interested in research showing how mathematics enables progress through rigorous reasoning and effective computation. While data-driven and AI-based methods are relevant, the emphasis should remain on the mathematical formulation, analysis, and solver development, rather than purely empirical outcomes. Potential topics include but are not limited to the following: Mathematical modelling and analysis of complex or dynamic systems Advances in optimization, simulation, and numerical computation Development and validation of efficient solvers and scalable algorithms Integration of mathematical and data-driven methodologies Uncertainty quantification, robustness, and sensitivity analysis Inverse problems and parameter estimation in mathematical models Numerical analysis and discretization techniques for complex systems Multi-objective and multi-scale modelling frameworks Methodological advances ensuring robustness and transparency in mathematical modelling Cross-disciplinary applications in logistics, engineering, biology, health, energy, or the environmental sciences. Editors Lead Guest Editor Chunrui Zhang1 1Northeast Forestry University, China
由 Dou Sun 最后更新于

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