Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

Language: English

Published by Springer, Springer Mär 2025, 2025

9819600995 / 9789819600991

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This item is printed on demand - Print on Demand Titel. Neuware -This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods in deterministic, stochastic, deep neural network machine learning approaches for computer simulations of electromagnetic and transport processes in biology, microwave and optical wave devices, and nano-electronics. Computational research has become strongly influenced by interactions from many different areas including biology, physics, chemistry, engineering, etc. A multifaceted approach addressing the interconnection among mathematical algorithms and physical foundation and application is much needed to prepare graduate students and researchers in applied mathematics and sciences and engineering for innovative advanced computational research in many applications areas, such as biomolecular solvation in solvents, radar wave scattering, the interaction of lights with plasmonic materials, plasma physics, quantum dots, electronic structure, current flows in nano-electronics, and microchip designs, etc.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 644 pp. Englisch.…

Seller Inventory # 9789819600991

Title
Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics
Author
Wei Cai
Publisher
Springer, Springer Mär 2025
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9819600995
ISBN 13
9789819600991
Edition
2nd Edition
Item weight
1,119 grams
Dimensions
241x160x40 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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