**A. David Wunsch ... **360 pages -

**Publisher:** CRC Press; (April, 2016) ...

**Language:** English -

** ISBN-10:** 1498755674 -

** ISBN-13:** 978-1498755672 ...

This book is intended for someone learning functions of a complex
variable and who enjoys using MATLAB. It will enhance the exprience of
learning complex variable theory and will strengthen the knowledge of
someone already trained in ths branch of advanced calculus. ABET,
the accrediting board for engineering programs, makes it clear that
engineering graduates must be skilled in the art of programming in a
language such as MATLAB

^{®}. Supplying students with a bridge
between the functions of complex variable theory and MATLAB, this
supplemental text enables instructors to easily add a MATLAB component
to their complex variables courses.

**A MATLAB**^{®} Companion to Complex Variables provides
readers with a clear understanding of the utility of MATLAB in complex
variable calculus. An ideal adjunct to standard texts on the functions
of complex variables, the book allows professors to quickly find and
assign MATLAB programming problems that will strengthen students’
knowledge of the language and concepts of complex variable theory. The
book shows students how MATLAB can be a powerful learning aid in such
staples of complex variable theory as conformal mapping, infinite
series, contour integration, and Laplace and Fourier transforms. In
addition to MATLAB programming problems, the text includes many examples
in each chapter along with MATLAB code. Fractals, the most
recent interesting topic involving complex variables, demands to be
treated with a language such as MATLAB. This book concludes with a Coda,
which is devoted entirely to this visually intriguing subject. MATLAB
is not without constraints, limitations, irritations, and quirks, and
there are subtleties involved in performing the calculus of complex
variable theory with this language. Without knowledge of these
subtleties, engineers or scientists attempting to use MATLAB for
solutions of practical problems in complex variable theory suffer the
risk of making major mistakes. This book serves as an early warning
system about these pitfalls.