The application of mathematical and computer modelling methods transcends disciplinary boundaries, revolutionizing how we understand, predict, and optimize complex systems across a myriad of fields. These methods provide a powerful lens through which we can dissect intricate phenomena, simulate real-world scenarios, and unravel the hidden patterns that underlie natural and artificial processes. In engineering, mathematical modelling enables the design and analysis of innovative structures, systems, and technologies, guiding the creation of efficient and resilient solutions. Similarly, in the physical sciences, mathematical models facilitate the exploration of fundamental principles, aiding in the discovery of new materials, the prediction of physical behaviour, and the advancement of scientific knowledge. In the realm of economics and finance, mathematical and computer modeming offer insights into market dynamics, risk assessment, and investment strategies, contributing to informed decision-making in a globally interconnected financial landscape. Environmental science leverages these methods to simulate ecological interactions, forecast climate trends, and design sustainable policies for resource management and conservation. Moreover, in the life sciences, mathematical modelling unravels the complexities of biological systems, enabling the study of disease spread, drug interactions, and genetic evolution, ultimately driving breakthroughs in healthcare and medicine.
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Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report
