Mathematical Models in the Applied Sciences: Volume 1
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Mathematical models in the applied sciences use maths to represent real-world systems and predict their behaviour. These models are equations or formulas that describe relationships between different factors in a system. They help scientists and engineers understand complex phenomena, such as climate change, population growth or disease spread. By simulating various scenarios, mathematical models can predict outcomes and guide decision-making. They are essential in fields like physics, biology, economics and engineering. Creating these models involves finding key factors, setting up equations ...
Mathematical models in the applied sciences use maths to represent real-world systems and predict their behaviour. These models are equations or formulas that describe relationships between different factors in a system. They help scientists and engineers understand complex phenomena, such as climate change, population growth or disease spread. By simulating various scenarios, mathematical models can predict outcomes and guide decision-making. They are essential in fields like physics, biology, economics and engineering. Creating these models involves finding key factors, setting up equations to show how these factors interact, and testing the models with real data to make sure they are accurate. Mathematical models are powerful tools for making decisions and improving technologies. The book aims to shed light on some of the unexplored aspects of mathematical models. Most of the topics introduced in this book cover new techniques and the applications of mathematical models in the applied sciences. It is appropriate for those seeking detailed information in this area.
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