Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Methods in Engineering, Ai, and Analysis: Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis

Computational Methods in Engineering, Ai, and Analysis: Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis

Arora, Geeta
Srivastava, Hari Mohan
Kapoor, Mamta

Hardcover

Series: de Gruyter Proceedings in Mathematics

Technology & EngineeringGeneral ComputersGeneral Mathematics

PREORDER - Expected ship date October 5, 2026

ISBN10: 3119142816
ISBN13: 9783119142816
Publisher: de Gruyter
Published: Oct 5 2026
Pages: 555
Weight: 2.38
Height: 1.19 Width: 6.69 Depth: 9.61
Language: English

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.

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