This work fills an important gap in the literature by providing an
important link between MAPLE and its successful use in solving
problems in Operations Research (OR). The symbolic, numerical, and
graphical aspects of MAPLE make this software package an ideal tool
for treating certain OR problems and providing descriptive and
optimization-based analyses of deterministic and stochastic models.
Detailed is MAPLE's treatment of some of the mathematical
techniques used in OR modeling: e.g., algebra and calculus,
ordinary and partial differential equations, linear algebra,
transform methods, and probability theory.
A number of examples of OR techniques and applications are
presented, such as linear and nonlinear programming, dynamic
programming, stochastic processes, inventory models, queueing
systems, and simulation. Throughout the text MAPLE statements used
in the solutions of problems are clearly explained. At the same
time, technical background material is presented in a rigorous
mathematical manner to reach the OR novice and professional.
Numerous end-of- chapter exercises, a good bibliography and overall
index at the end of the book are also included, as well as MAPLE
worksheets that are easily downloadable from the author's website
at www.business.mcmaster.ca/msis/profs/parlar, or from the
Birkhauser website at
www.birkhauser.com/cgi-win/ISBN/0-8176-4165-3.
The book is intended for advanced undergraduate and graduate
students in operations research, management science departments of
business schools, industrial and systems engineering, economics,
and mathematics. As a self-study resource, the text can be used by
researchers and practitioners who want a quick overview ofMAPLE's
usefulness in solving realistic OR problems that would be difficult
or impossible to solve with other software packages.
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