Computational Methods in Engineering, AI, and Analysis. Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis (en Inglés) - Geeta Arora;Hari Mohan Srivastava;Mamta Kapoor;Carlo Cattani;Seyyed Ahmad Edalatpanah

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. 

The series is aimed specifically at publishing peer-reviewed reviews and contributions presented at conferences, workshops, and international seminars as well as edited volumes commemorating and honoring significant achievements by mathematicians. This content covers various topics within pure and applied mathematics and provides up-to-date coverage of new developments, methods, and applications.