Computational Methods in Engineering, AI, and Analysis: Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis - De Gruyter Proceedings in Mathematics - - Books - De Gruyter - 9783119142816 - October 5, 2026
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Computational Methods in Engineering, AI, and Analysis: Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis - De Gruyter Proceedings in Mathematics

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Expected delivery Oct 13 - 16, 2026

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Computational Methods in Engineering, AI, and Analysis offers a comprehensive concept  of modern computational mathematics, bringing together theoretical foundations, advanced numerical methods, and emerging data-driven approaches. The volume is structured across three key themes: mathematical modeling and computational techniques, engineering and physical system applications, and artificial intelligence with machine learning. It presents a collection of the methodologies such as wavelet-based methods, fractional calculus, finite element analysis, and hybrid AI models, with applications to the real-world problems in fluid dynamics, finance, healthcare, and environmental systems.

With the contributions from the researchers across interdisciplinary fields, the book highlights the growing interaction between mathematics and the computational domain with the involvement of the advanced computational techniques to address the complex scientific challenges. 

Media Books     Hardcover Book   (Book with hard spine and cover)
To be released October 5, 2026
ISBN13 9783119142816
Publishers De Gruyter
Pages 555
Dimensions 150 × 220 × 20 mm   ·   862 g   (Weight (estimated))
Editor Arora, Geeta
Editor Cattani, Carlo
Editor Edalatpanah, Seyyed Ahmad
Editor Kapoor, Mamta
Editor Srivastava, Hari Mohan

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