Mamta Kapoor – författare

MATLAB and Python are the two powerhouse languages for engineers, scientists, and data analysts, essential for numerical computing, simulation, and analysis. MATLAB is highly used to tackle scenarios such as signal processing, thermal simulations, structural analysis, modeling of mathematical systems, etc. On the other hand, Python has its own demand in different fields, such as data analysis, data visualization, machine learning, statistical modeling, classification models, regression models, quantitative analysis, etc.

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.