Hardcover. A concise and up-to-date introduction to mathematical methods for students in the physical sciences Mathematical Methods in Physics, Engineering and Chemistry offers an introduction to the most important methods of theoretical physics. Written by two physics professors with years of experience, the text puts the focus on the essential math topics that the majority of physical science students require in the course of their studies. This concise text also contains worked examples that clearly illustrate the mathematical concepts presented and shows how they apply to physical problems. This targeted text covers a range of topics including linear algebra, partial differential equations, power series, Sturm-Liouville theory, Fourier series, special functions, complex analysis, the Greens function method, integral equations, and tensor analysis. This important text: Provides a streamlined approach to the subject by putting the focus on the mathematical topics that physical science students really needOffers a text that is different from the often-found definition-theorem-proof schemeIncludes more than 150 worked examples that help with an understanding of the problems presentedPresents a guide with more than 200 exercises with different degrees of difficulty Written for advanced undergraduate and graduate students of physics, materials science, and engineering, Mathematical Methods in Physics, Engineering and Chemistry includes the essential methods of theoretical physics. The text is streamlined to provide only the most important mathematical concepts that apply to physical problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Mathematical Methods in Physics, Engineering, and Chemistry (Hardcover)
Editor: John Wiley & Sons Inc, New York
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 1119579651
ISBN 13: 9781119579656
Encuadernaci�n: Hardcover
Estado: new

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Sinopsis

A concise and up-to-date introduction to mathematical methods for students in the physical sciences

Mathematical Methods in Physics, Engineering and Chemistry offers an introduction to the most important methods of theoretical physics. Written by two physics professors with years of experience, the text puts the focus on the essential math topics that the majority of physical science students require in the course of their studies. This concise text also contains worked examples that clearly illustrate the mathematical concepts presented and shows how they apply to physical problems.

This targeted text covers a range of topics including linear algebra, partial differential equations, power series, Sturm-Liouville theory, Fourier series, special functions, complex analysis, the Green’s function method, integral equations, and tensor analysis. This important text:

Provides a streamlined approach to the subject by putting the focus on the mathematical topics that physical science students really need
Offers a text that is different from the often-found definition-theorem-proof scheme
Includes more than 150 worked examples that help with an understanding of the problems presented
Presents a guide with more than 200 exercises with different degrees of difficulty

Written for advanced undergraduate and graduate students of physics, materials science, and engineering, Mathematical Methods in Physics, Engineering and Chemistry includes the essential methods of theoretical physics. The text is streamlined to provide only the most important mathematical concepts that apply to physical problems.

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BRETT BORDEN, PHD, joined the Faculty of the Naval Postgraduate School in Monterey, CA in 2002, where he is Emeritus Professor of Physics. He served on the editorial board of the journal Inverse Problems from 2002 to 2013. Dr. Borden is a Fellow of The Institute of Physics.

JAMES LUSCOMBE, PHD, is a Professor at the Naval Postgraduate School in Monterey, California. He teaches a variety of topics, including general relativity, statistical mechanics, mathematical methods, and quantum computation.

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