EBOOK
Computational Methods and Mathematical Modeling in Cyberphysics and Engineering Applications 3
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About
Situated at the intersection of advanced applied mathematics, computational science and modern engineering, “Computational Methods and Mathematical Modeling in Cyberphysics and Engineering Applications 3” presents cutting-edge research on cyberphysical systems and their real-world applications.
Responding to the growing demand for rigorous modeling frameworks capable of addressing complex technological challenges across disciplines, this book offers a coherent panorama of contemporary methodologies. These span lossless image compression algorithms, electrical impedance tomography and extragradient methods for variational inequalities in Banach spaces. It further examines multiphysics modeling in environmental engineering, grid-supported magnetic levitation systems and the optimization of water transport in porous media for sustainable irrigation. Foundational stochastic tools-such as gamma processes and hidden Markov models for reliability and maintenance planning-are integrated with theoretical advances, including matrix polynomials on noncommutative sets.
By concluding with interdisciplinary perspectives, notably a quantum hypothesis of olfactory perception, demonstrating how mathematical modeling can bridge engineering, physics and biomedical sciences, this book offers both theoretical depth and practical relevance for researchers, engineers and advanced practitioners.
Responding to the growing demand for rigorous modeling frameworks capable of addressing complex technological challenges across disciplines, this book offers a coherent panorama of contemporary methodologies. These span lossless image compression algorithms, electrical impedance tomography and extragradient methods for variational inequalities in Banach spaces. It further examines multiphysics modeling in environmental engineering, grid-supported magnetic levitation systems and the optimization of water transport in porous media for sustainable irrigation. Foundational stochastic tools-such as gamma processes and hidden Markov models for reliability and maintenance planning-are integrated with theoretical advances, including matrix polynomials on noncommutative sets.
By concluding with interdisciplinary perspectives, notably a quantum hypothesis of olfactory perception, demonstrating how mathematical modeling can bridge engineering, physics and biomedical sciences, this book offers both theoretical depth and practical relevance for researchers, engineers and advanced practitioners.