Computational Methods in Engineering, AI, and Analysis
Mathematical Modeling, Machine Learning, Optimization, and Statistical Analysis
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Beschreibung
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.
Autor*in
Geeta Arora
Themen in »Computational Methods in Engineering, AI, and Analysis«
Mathematical Modeling Computational Algorithms Optimization Techniques Machine Learning Models Statistical Data Analysis Mathematische Modellierung Computergestützte Algorithmen Optimierungstechniken Maschinelle Lernmodelle Statistische Datenanalyse