£107.73

Springer Scientific Computing in Electrical Engineering SCEE 2014

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Description

Scientific Computing in Electrical Engineering: SCEE 2014 provides a comprehensive collection of selected papers from the 10th International Conference held in Wuppertal, Germany. This volume is an essential resource for researchers and professionals working at the intersection of mathematics and industrial application. The book is organized into five distinct sections to cover the primary directions of the SCEE 2014 conference. Readers can explore specialized topics including Device Modeling, Electric Circuits and Simulation, and Computational Electromagnetics. The content also addresses advanced technical areas such as Coupled Problems, Model Order Reduction, and Uncertainty Quantification. Each section begins with a general introduction that sets the stage for the specific research papers that follow. This structured approach helps readers navigate complex topics in scientific computing and electrical engineering with ease. As part of the Mathematics in Industry series, this publication serves as a valuable academic reference for those studying computational methods and their practical implementations in engineering fields.

Key Features

Includes selected research papers from the 10th International Conference on Scientific Computing in Electrical Engineering (SCEE) held in Wuppertal, Germany.

Organized into five thematic parts covering Device Modeling, Electric Circuits, and Simulation for specialized study.

Covers advanced computational topics including Computational Electromagnetics and Coupled Problems.

Provides detailed insights into Model Order Reduction and Uncertainty Quantification techniques.

Each section features a general introduction to provide context before presenting specific research papers.

Part of the Mathematics in Industry series, making it a relevant resource for academic and professional research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 May 2018
Listed Since
29 May 2018

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No barcode data available

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