£123.11

Springer - Computational Electromagnetics Methods Book

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Description

This Springer publication provides a comprehensive look at computational electromagnetics through clear physics and solid mathematical formulations. It covers a wide range of numerical methods, including deterministic, stochastic, and deep neural network machine learning approaches. These tools are essential for the computer simulation of electromagnetic and transport processes. As computational research grows more complex, this book addresses the necessary connections between mathematics, biology, physics, chemistry, and engineering. It is designed to support professionals and researchers working with microwave and optical wave devices, nano-electronics, and biological processes. By integrating state-of-the-art numerical methods with deep learning, this text offers a multifaceted approach to solving modern engineering and physics challenges.

Key Features

Covers deterministic, stochastic, and deep neural network machine learning approaches for advanced computer simulations.

Provides a balanced perspective based on clear physics principles and solid mathematical formulations.

Supports research in microwave and optical wave devices through state-of-the-art numerical methods.

Applicable to electromagnetic and transport processes in biology and nano-electronics.

Addresses the interconnection between mathematics, physics, chemistry, and engineering disciplines.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 March 2025
Listed Since
04 October 2024

Barcode

No barcode data available

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