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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations

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Spectral Methods in Surface Superconductivity (Hardcover, Edition.) Loot Price: R1,762

Discovery Miles 17 620

Repayment Terms: R165 pm x 12*

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Spectral Methods in Surface Superconductivity (Hardcover, Edition.): Soren Fournais, Bernard Helffer

Spectral Methods in Surface Superconductivity (Hardcover, Edition.)

Soren Fournais, Bernard Helffer

Series: Progress in Nonlinear Differential Equations and Their Applications, 77

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Loot Price R1,762 Discovery Miles 17 620 | Repayment Terms: R165 pm x 12*

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This book examines in detail the nonlinear Ginzburg-Landau functional, the model most commonly used in the study of superconductivity. Specifically covered are cases in the presence of a strong magnetic field and with a sufficiently large Ginzburg-Landau parameter kappa. Spectral Methods in Surface Superconductivity is intended for students and researchers with a graduate-level understanding of functional analysis, spectral theory, and the analysis of partial differential equations. The book also includes an overview of all nonstandard material as well as important semi-classical techniques in spectral theory that are involved in the nonlinear study of superconductivity.

General

Imprint:	Birkhauser Boston
Country of origin:	United States
Series:	Progress in Nonlinear Differential Equations and Their Applications, 77
Release date:	June 2010
First published:	2010
Authors:	Soren Fournais • Bernard Helffer
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	324
Edition:	Edition.
ISBN-13:	978-0-8176-4796-4
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > Semi-conductors & super-conductors Promotions
LSN:	0-8176-4796-1
Barcode:	9780817647964