Mathematical Modeling in Real-World Systems

Abstract: Mathematical modeling plays a crucial role in understanding, predicting, and optimizing complex systems across various domains. This paper explores five significant applications of mathematical modeling: traffic flow using partial differential equations (PDEs), climate modeling with coupled nonlinear systems, tumor growth via reaction-diffusion equations, financial derivative pricing with the Black-Scholes equation, and renewable energy systems modeling. These diverse topics showcase the versatility and power of mathematical frameworks in solving real-world problems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15321431
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00
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Mathematical Modeling in Real-World Systems

Zenodo (CERN European Organization for Nuclear Research)
Mathematical Biology Tumor Growth
article

Mathematical Modeling in Real-World Systems

article en

Abstract

Abstract: Mathematical modeling plays a crucial role in understanding, predicting, and optimizing complex systems across various domains. This paper explores five significant applications of mathematical modeling: traffic flow using partial differential equations (PDEs), climate modeling with coupled nonlinear systems, tumor growth via reaction-diffusion equations, financial derivative pricing with the Black-Scholes equation, and renewable energy systems modeling. These diverse topics showcase the versatility and power of mathematical frameworks in solving real-world problems.

Zenodo (CERN European Organization for Nuclear Research)
Sonae (Portugal) (PT)
Climate action
Openalex Percentile: Top 49%
Mathematical Biology Tumor Growth
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