Instructor's Manual for Advanced Engineering
Author : Erwin Kreyszig
Publisher : John Wiley & Sons
Page : 85 pages
File Size : 31,93 MB
Release : 1983-01-01
Category : Engineering mathematics
ISBN : 9780471898559
Author : Erwin Kreyszig
Publisher : John Wiley & Sons
Page : 85 pages
File Size : 31,93 MB
Release : 1983-01-01
Category : Engineering mathematics
ISBN : 9780471898559
Author : Merle C. Potter
Publisher :
Page : 379 pages
File Size : 42,25 MB
Release : 2005
Category : Engineering mathematics
ISBN : 9780195222159
Author : Erwin Kreyszig
Publisher :
Page : 420 pages
File Size : 45,78 MB
Release : 2005-10-28
Category :
ISBN : 9780471726470
Author : Michael D. Greenberg
Publisher :
Page : 547 pages
File Size : 21,2 MB
Release : 1988
Category : Engineering mathematics
ISBN : 9780130105134
Author : Erwin Kreyszig
Publisher :
Page : 122 pages
File Size : 39,64 MB
Release : 1988-01-01
Category : Mathematical physics
ISBN : 9780471627630
Author : Dennis Zill
Publisher : Jones & Bartlett Learning
Page : 1005 pages
File Size : 20,76 MB
Release : 2011
Category : Mathematics
ISBN : 0763779660
Accompanying CD-ROM contains ... "a chapter on engineering statistics and probability / by N. Bali, M. Goyal, and C. Watkins."--CD-ROM label.
Author : C. R. Wylie
Publisher :
Page : pages
File Size : 18,81 MB
Release : 1975
Category :
ISBN :
Author : Clarence Raymond Wylie
Publisher :
Page : 65 pages
File Size : 40,44 MB
Release : 1975
Category :
ISBN : 9780070721838
Author : Clarence Raymond Wylie
Publisher :
Page : 148 pages
File Size : 13,64 MB
Release : 1996
Category :
ISBN :
Author : Herbert Kreyszig
Publisher : John Wiley & Sons
Page : 278 pages
File Size : 48,40 MB
Release : 2012-01-17
Category : Mathematics
ISBN : 1118007409
Student Solutions Manual to accompany Advanced Engineering Mathematics, 10e. The tenth edition of this bestselling text includes examples in more detail and more applied exercises; both changes are aimed at making the material more relevant and accessible to readers. Kreyszig introduces engineers and computer scientists to advanced math topics as they relate to practical problems. It goes into the following topics at great depth differential equations, partial differential equations, Fourier analysis, vector analysis, complex analysis, and linear algebra/differential equations.