1st Edition
Modeling Change and Uncertainty Machine Learning and Other Techniques
This book offers a problem-solving approach. The authors introduce a problem to help motivate the learning of a particular mathematical modeling topic. The problem provides the issue or what is needed to solve using an appropriate modeling technique.
Contents
Preface......................................................................................................................xi
Author Biographies ........................................................................................... xvii
1. Perfect Partners: Combining Models of Change and
Uncertainty with Technology .....................................................................1
2. Modeling Change: Discrete Dynamical Systems (DDS)
and Modeling Systems of DDS ...............................................................19
3. Statistical and Probabilistic Models........................................................73
4. Modeling with Probability......................................................................121
5. Differential Equations ..............................................................................181
6. Forecasting with Linear Programming and Machine Learning ......237
7. Stochastic Models and Markov Chains................................................271
8. Linear Programming .................................................................................287
9. Simulation of Queuing Models .............................................................329
10. Modeling of Financial Analysis .............................................................357
11. Reliability Models.....................................................................................395
12. Machine Learning and Unconstrained Optimal Process..................411
Reference ...................................................................................................... 442
Index .....................................................................................................................443
Biography
Dr. William P. Fox is currently a visiting professor of Computational Operations Research at the College of William and Mary. He is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School and teaches a three-course sequence in mathematical modeling for decision making. He received his Ph.D. in Industrial Engineering from Clemson University. He has taught at the United States Military Academy for twelve years until retiring and at Francis Marion University where he was the chair of mathematics for eight years. He has many publications and scholarly activities including twenty plus books and one hundred and fifty journal articles.
Colonel (R) Robert E. Burks, Jr., Ph.D. is an Associate Professor in the Defense Analysis Department of the Naval Postgraduate School (NPS) and the Director of the NPS’ Wargaming Center. He holds a Ph.D. in Operations Research from the Air Force Institute of Technology. He is a retired logistics Army Colonel with more than thirty years of military experience in leadership, advanced analytics, decision modeling, and logistics operations who served as an Army Operations Research analyst at the Naval Postgraduate School, TRADOC Analysis Center, United States Military Academy, and the United States Army Recruiting Command.
Other book by William P. Fox and Robert E. Burks: Advanced Mathematical Modeling with Technology, 2021, CRC Press.
Other books by William P. Fox from CRC Press:
Mathematical Modeling in the Age of the Pandemic, 2021, CRC Press.
Advanced Problem Solving Using Maple: Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis (w/William Bauldry), 2020, CRC Press.
Mathematical Modeling with Excel (w/Brian Albright), 2020, CRC Press.
Nonlinear Optimization: Models and Applications, 2020, CRC Press.
Advanced Problem Solving with Maple: A First Course (w/William Bauldry), 2019. CRC Press.
Mathematical Modeling for Business Analytics, 2018, CRC Press.
