Engineers require a solid knowledge of the relationship between
engineering applications and underlying mathematical theory.
However, most books do not present sufficient theory, or they do
not fully explain its importance and relevance in understanding
those applications.
Advanced Engineering Mathematics with Modeling Applications
employs a balanced approach to address this informational void,
providing a solid comprehension of mathematical theory that will
enhance understanding of applications and vice versa. With a focus
on modeling, this book illustrates why mathematical methods work,
when they apply, and what their limitations are. Designed
specifically for use in graduate-level courses, this book:
- Emphasizes mathematical modeling, dimensional analysis,
scaling, and their application to macroscale and nanoscale
problems
- Explores eigenvalue problems for discrete and continuous
systems and many applications
- Develops and applies approximate methods, such as Rayleigh-Ritz
and finite element methods
- Presents applications that use contemporary research in areas
such as nanotechnology
Apply the Same Theory to Vastly Different Physical
Problems
Presenting mathematical theory at an understandable level, this
text explores topics from real and functional analysis, such as
vector spaces, inner products, norms, and linear operators, to
formulate mathematical models of engineering problems for both
discrete and continuous systems. The author presents theorems and
proofs, but without the full detail found in mathematical books, so
that development of the theory does not obscure its application to
engineering problems. He applies principles and theorems of linear
algebra to derive solutions, including proofs of theorems when they
are instructive. Tying mathematical theory to applications, this
book provides engineering students with a strong foundation in
mathematical terminology and methods.
General
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