
Journal of Advances in Developmental Research
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Exploring Chaos Theory and Its Applications in Science and Engineering
Author(s) | Dr. Suman Jain |
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Country | India |
Abstract | This paper explores the applications of chaos theory in science and engineering, with a specific focus on its integration in the Indian context. Chaos theory, which studies deterministic yet unpredictable systems, has widespread relevance in various fields such as meteorology, power systems, biology, and economics. The paper reviews the mathematical foundations of chaos theory, its practical applications, and the progress India has made in adopting chaos-based models for problem-solving. Secondary data, including case studies and simulations, were used to analyze chaos theory's role in enhancing predictive models, especially in monsoon forecasting, renewable energy systems, and traffic management. The findings suggest that chaos-based models improve the accuracy and reliability of predictions, offering significant advancements in technology and policy-making. Despite challenges such as limited interdisciplinary research and computational infrastructure, the potential for further development is substantial. The paper recommends targeted investments in education, high-performance computing, and interdisciplinary research to capitalize on chaos theory's full potential. Future research directions include deeper integration with artificial intelligence, further exploration of renewable energy optimization, and more robust applications in national infrastructure planning. The insights from this study contribute to a broader understanding of chaos theory’s role in shaping modern scientific and technological landscapes in India. |
Field | Mathematics |
Published In | Volume 4, Issue 1, January-June 2013 |
Published On | 2013-06-06 |
Cite This | Exploring Chaos Theory and Its Applications in Science and Engineering - Dr. Suman Jain - IJAIDR Volume 4, Issue 1, January-June 2013. DOI 10.5281/zenodo.15363948 |
DOI | https://doi.org/10.5281/zenodo.15363948 |
Short DOI | https://doi.org/g9hrsh |
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IJAIDR DOI prefix is
10.71097/IJAIDR
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