Numerical Techniques in Electromagnetics with MATLAB

Sadiku, Matthew N.O.

ISBN 10: 142006309X / ISBN 13: 9781420063097

Verlag: CRC Press 978-1-4200-6309-7, Boca Raton

Beschreibung

[978-1-4200-6309-7] 2009, 3rd edition. (Hardcover) Near fine, no dust jacket. 710pp. Illustrations, tables, formulas, index. The rear bottom corner is lightly bumped. (Science, Electrical Engineering, Electromagnetics, Science).

Bestandsnummer des Verkäufers 159721

Bibliografische Details

• Titel: Numerical Techniques in Electromagnetics with MATLAB
• Verlag: CRC Press 978-1-4200-6309-7, Boca Raton
• ISBN-10: 142006309X
• ISBN-13: 9781420063097
• Einband: Hardcover
• Verkäuferkataloge:
  • Science and Technology

Über diesen Titel

Inhaltsangabe

Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers, researchers, and students.

This third edition of the bestselling text reflects the continuing increase in awareness and use of numerical techniques and incorporates advances and refinements made in recent years. Most notable among these are the improvements made to the standard algorithm for the finite-difference time-domain (FDTD) method and treatment of absorbing boundary conditions in FDTD, finite element, and transmission-line-matrix methods. The author also has added a chapter on the method of lines.

Numerical Techniques in Electromagnetics with MATLAB®, Third Edition continues to teach readers how to pose, numerically analyze, and solve EM problems, to give them the ability to expand their problem-solving skills using a variety of methods, and to prepare them for research in electromagnetism. Now the Third Edition goes even further toward providing a comprehensive resource that addresses all of the most useful computation methods for EM problems and includes MATLAB code instead of FORTRAN.

Über die Autorin bzw. den Autor

Prairie View A&M University, Texas, USA