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The text presents modeling topics using Maple as the computer algebra system for solving mathematical equations as well as obtaining plots that help us perform our analyses. It presents cogent applications of applied mathematics, provides discussions of the results obtained, and stimulate thought and analysis of additional applications.
List of contents
Introduction to Problem Solving and Maple
Problem Solving
Introduction to Maple
The Structure of Maple
General Introduction to Maple
Maple Training
Maple Applications Center
Introduction, Basic Concepts, and Techniques in Problem Solving with First Order, Ordinary Differential Equations
Introduction
Applied First Order Differential Equations and Solution Methods
Slope Fields and Qualitative Assessments
Analytical Solution of 1st Order ODEs
First Order ODEs and Maple
Numerical Methods for 1st Order ODEs
Introduction, Basic Concepts, and Techniques in Problem Solving with Systems of Ordinary Differential Equations
Systems of Differential Equations
Applied Systems of Differential Equations
Phase Portraits and Qualitative Assessment
Solving Homogeneous and Non-Homogeneous Systems of ODEs
Numerical Solutions to Systems of Ordinary Differential Equations
Problem Solving with Linear, Integer, and Mixed Integer Programming
Formulating Linear Programming Problems
Understanding Two-Variable Linear Programming: A Graphical Simplex
Solving the Linear Program: The Simplex Method and Maple
Linear Programming with Internal Maple Commands
Sensitivity Analysis with Maple
Integer and Mixed Integer Problems with Maple
Model Fitting and Linear Regression
Introduction
The Different Curve Fitting Criterion
Plotting the Residuals for a Least-Squares Fit
Case Studies
Statistical and Probabilistic Problem Solving with Maple
Introduction
Basic Statistics: Univariate Data
Introduction to Classical Probability
Reliability in Engineering and Business
Case Study: Airlines Overbooking Model
The Normal Distribution
Confidence Intervals and Hypothesis Testing
Problem Solving with Simulation
Introduction
Monte Carlo Simulation
Probability and Monte Carlo Simulation Using Deterministic Behavior
Probability and Monte Carlo Simulation: Using Probabilistic Behavior
Case Studies: Applied Simulation Models
Index
About the author
Dr. 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 Ph.D. 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. 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).
Summary
The text presents modeling topics using Maple as the computer algebra system for solving mathematical equations as well as obtaining plots that help us perform our analyses. It presents cogent applications of applied mathematics, provides discussions of the results obtained, and stimulate thought and analysis of additional applications.
