Produktnummer:
18f8456848844145a8a9827573dd1c1824
| Themengebiete: | ICAIM-2023 convex-concave fractal dimension iterations mathematical modelling non-smooth wavelet optimization problem recursive relation self similarity stochastic parameter |
|---|---|
| Veröffentlichungsdatum: | 29.05.2025 |
| EAN: | 9789819634606 |
| Sprache: | Englisch |
| Seitenzahl: | 280 |
| Produktart: | Unbekannt |
| Herausgeber: | Alam, Khursheed Karaca, Yeliz Khan, Ayub Singh, R. C. |
| Verlag: | Springer Singapore |
| Untertitel: | ICAIM-2023, Greater Noida, India, March 24–26 |
Produktinformationen "Mathematical Modeling, Applied Analysis and Computational Methods"
This volume presents a curated selection of papers presented at the International Conference on Applied and Industrial Mathematics (ICAIM 2023), hosted by Sharda University in Greater Noida, Uttar Pradesh, India, from 24-26 March 2023. It delves into diverse realms of mathematical modelling, applied analyses, computational methods and industrial mathematics. Each chapter within this collection offers intriguing insights into tackling real-world challenges through the lens of mathematical modelling and computational approaches. The book traverses an array of compelling subjects from safeguarding secrets through specialized codes to optimizing solar energy utilization. It illuminates how mathematics is potent in unravelling intricate problems, such as understanding disease propagation or enhancing machine learning algorithms. Through lucid explanations and engaging examples, this volume is tailored for curious minds eager to delve into the marvels of mathematics from fresh perspectives.
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