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Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation

234,33 €*

Dieses Produkt erscheint am 17. Oktober 2025

Produktnummer: 181b9f65670b30442098921307aa3cdbc2
Themengebiete: computational science and engineering digital twin math for industry quantitative sustainability scientific machine learning
Veröffentlichungsdatum: 17.10.2025
EAN: 9783031957093
Sprache: Englisch
Seitenzahl: 374
Produktart: Unbekannt
Herausgeber: Giacomini, Matteo Perotto, Simona Rozza, Gianluigi
Verlag: Springer International Publishing
Untertitel: Math to Product
Produktinformationen "Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation"
This book presents up-to-date state of the art for industrial mathematics and covers emerging topics in computational sciences. Mathematical models and computational methods have gained an increasing importance in the simulation of real-world and industrial problems. The employment of such methodologies deeply changed the standard ways of conceiving daily industrial production and strategies for sustainable exploitation of modern cities. The goal pursued by this book is twofold. On the one hand, cases of successful interaction between mathematics and industry are presented. Special emphasis is devoted to the benefits provided by the transfer of knowledge in different fields of applications, including the social challenges of sustainable development. On the other hand, groundbreaking ideas and emerging technologies in computational science are discussed to foster cross-fertilization of academic solutions and real-world problems. Math to Product (M2P) is meant to establish a platform for proposal, discussion, and promotion of current and new trends in industry, sustainability, and innovation, with the goal of supporting creative and interdisciplinary thoughts. Scientific/technical areas covered include transfer of knowledge, innovation in design, computational science and engineering, industrial optimization processes, sustainable mobility, aerospace, automotive, nautical and naval engineering.  Target audience is made up by grad students and researchers in the field.
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