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Generalized Vector and Dyadic Analysis
Chen-To Tai
€ 186.83
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Description for Generalized Vector and Dyadic Analysis
Hardcover. Series: IEEE Press Series on Electromagnetic Wave Theory. Num Pages: 208 pages, illustrations. BIC Classification: PBKF. Category: (G) General (US: Trade); (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 160 x 20. Weight in Grams: 496.
Unmatched in its coverage of the topic, the first edition of GENERALIZED VECTOR AND DYADIC ANALYSIS helped revolutionize the treatment of boundary-value problems, establishing itself as a classic in the field. This expanded, revised edition is the most comprehensive book available on vector analysis founded upon the new method symbolic vector. GENERALIZED VECTOR AND DYADIC ANALYSIS presents a copious list of vector and dyadic identities, along with various forms of Green's theorems with derivations. In addition, this edition presents an historical study of the past mis-understandings and contradictions that have occurred in vector analysis presentations, furthering the reader's understanding of ... Read more
Unmatched in its coverage of the topic, the first edition of GENERALIZED VECTOR AND DYADIC ANALYSIS helped revolutionize the treatment of boundary-value problems, establishing itself as a classic in the field. This expanded, revised edition is the most comprehensive book available on vector analysis founded upon the new method symbolic vector. GENERALIZED VECTOR AND DYADIC ANALYSIS presents a copious list of vector and dyadic identities, along with various forms of Green's theorems with derivations. In addition, this edition presents an historical study of the past mis-understandings and contradictions that have occurred in vector analysis presentations, furthering the reader's understanding of ... Read more
Product Details
Format
Hardback
Publication date
1997
Publisher
I.E.E.E.Press United States
Number of pages
208
Condition
New
Series
IEEE Press Series on Electromagnetic Wave Theory
Number of Pages
208
Place of Publication
, United States
ISBN
9780780334137
SKU
V9780780334137
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Chen-To Tai
About the Author Chen-To Tai is Professor Emeritus at the University of Michigan, where he received the EKN Outstanding Faculty Award from the Department of Electrical Engineering and Computer Science in 1971 and 1977; the Tau-Beta-Pi Outstanding Faculty Award from the College of Engineering in 1974; and the Distinguished Achievement Award from the University in 1975. He also received the ... Read more
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