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Books > Professional & Technical > Mechanical engineering & materials > Materials science

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Magnetostatic Modelling of Thin Layers Using the Method of Moments And Its Implementation in OCTAVE/MATLAB (Hardcover, 1st ed. 2018) Loot Price: R3,365

Discovery Miles 33 650

Repayment Terms: R315 pm x 12*

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Magnetostatic Modelling of Thin Layers Using the Method of Moments And Its Implementation in OCTAVE/MATLAB (Hardcover, 1st ed....

Magnetostatic Modelling of Thin Layers Using the Method of Moments And Its Implementation in OCTAVE/MATLAB (Hardcover, 1st ed. 2018)

Roman Szewczyk

Series: Lecture Notes in Electrical Engineering, 491

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Loot Price R3,365 Discovery Miles 33 650 | Repayment Terms: R315 pm x 12*

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This book presents an efficient and robust method of modelling the magnetostatic properties of different technical elements, especially thin layers for magnetic sensors. The solutions presented utilise the principles of the method of moments. However, the principles have been developed both from the point of view of physical analyses as well as from the point of view of numerical optimisation. To enable cost-efficient use of the solutions for commercial applications in industry, the proposed method was implemented as a code optimised for use in the open-source OCTAVE environment. The scripts can be also used with MATLAB software, which is more user friendly, especially for less experienced users.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Electrical Engineering, 491
Release date:	April 2018
First published:	2018
Authors:	Roman Szewczyk
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	108
Edition:	1st ed. 2018
ISBN-13:	978-3-319-77984-3
Categories:	Books > Science & Mathematics > Physics > States of matter > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Promotions
LSN:	3-319-77984-2
Barcode:	9783319779843