Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

Name: Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics
Brand: Springer, Berlin
SKU: 9789819600991
Price: 735.6 PLN
Availability: InStock

Autor: Wei Cai

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

735.60 zł

This book provides a well-balanced and comprehensive picture based on clear physics, solid mathemati...

Informacje o książce

Autor

Wei Cai

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2025

strony

550

EAN

9789819600991

Enbook ID

46638717

Wydawca

Springer, Berlin

Waga

1064

Wymiary

155 x 235

Pełny opis

This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods (deterministic, stochastic, deep neural network machine learning) 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 interaction from many different areas including biology, physics, chemistry, engineering, etc. A well-balanced approach addressing the interconnection among mathematical algorithms (in deterministic, stochastic and machine learning approaches) 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 electrons in metallic materials, quantum dots, electronic structure, current flows in nano-electronics, and microchip designs, etc.

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Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

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