9788743806684 - mathematical solutions for complex engineering systems (river publishers series in mathematical, statistical and computational modelling for engineering) (5 resultados)

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 148,46
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 176,39
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dr. Satyvir Singh is a Research Associate Fellow at the Institute of Applied and Computational Mathematics, RWTH Aachen University, Germany. He obtained his Ph.D. in Computational Fluid Mechanics from Gyeongsang National University, South Korea, w.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Neuware - In an era where engineering challenges are becoming increasingly multifaceted, Mathematical Solutions for Complex Engineering Systems serves as a comprehensive guide bridging the gap between theory and real-world applications. This book explores advanced mathematical modeling techniques, computati…onal approaches, and optimization strategies that drive innovation across various engineering disciplines.This book brings together a diverse collection of research contributions that highlight: - Deterministic, stochastic, linear, and nonlinear models essential for analyzing multi-physical systems, from fluid dynamics to reliability engineering. - Cutting-edge methods such as finite element analysis, boundary element methods, Keller box techniques, and machine learning-driven modeling for solving complex engineering problems. - Case studies on nuclear power plant reliability, eco-epidemiology, nanofluid heat transfer, and pesticide impact on agricultural sustainability. - Novel mathematical frameworks, including fractional Taylor wavelets, B-spline methods, and variational principles, for tackling nonlinear differential equations. - Advanced concepts such as tunnel mathematics, meshfree methods, and high-resolution computational fluid dynamics (CFD) models for solving contemporary engineering challenges. Designed for researchers, engineers, and graduate students, this book provides a robust foundation in mathematical techniques and their practical applications. With contributions from leading experts, it offers a unique blend of theoretical depth and computational efficiency, making it an essential reference for tackling modern engineering complexities.