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Advanced Problem Solving Using Maple - Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis (Paperback)
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Advanced Problem Solving Using Maple - Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis (Paperback)
Series: Textbooks in Mathematics
Expected to ship within 12 - 17 working days
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Advanced Problem Solving Using Maple (TM): Applied Mathematics,
Operations Research, Business Analytics, and Decision Analysis
applies the mathematical modeling process by formulating, building,
solving, analyzing, and criticizing mathematical models. Scenarios
are developed within the scope of the problem-solving process. The
text focuses on discrete dynamical systems, optimization
techniques, single-variable unconstrained optimization and applied
problems, and numerical search methods. Additional coverage
includes multivariable unconstrained and constrained techniques.
Linear algebra techniques to model and solve problems such as the
Leontief model, and advanced regression techniques including
nonlinear, logistics, and Poisson are covered. Game theory, the
Nash equilibrium, and Nash arbitration are also included. Features:
The text's case studies and student projects involve students with
real-world problem solving Focuses on numerical solution techniques
in dynamical systems, optimization, and numerical analysis The
numerical procedures discussed in the text are algorithmic and
iterative Maple is utilized throughout the text as a tool for
computation and analysis All algorithms are provided with
step-by-step formats About the Authors: William P. Fox is an
emeritus professor in the Department of Defense Analysis at the
Naval Postgraduate School. Currently, he is an adjunct professor,
Department of Mathematics, the College of William and Mary. He
received his PhD at Clemson University and has many publications
and scholarly activities including twenty books and over one
hundred and fifty journal articles. William C. Bauldry, Prof.
Emeritus and Adjunct Research Prof. of Mathematics at Appalachian
State University, received his PhD in Approximation Theory from
Ohio State. He has published many papers on pedagogy and
technology, often using Maple, and has been the PI of several
NSF-funded projects incorporating technology and modeling into math
courses. He currently serves as Associate Director of COMAP's Math
Contest in Modeling (MCM).
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