A First Course in Mathematical Modeling
5th Edition
Published on 14. February 2013
Book
Hardback
704 pages
978-1-285-05090-4 (ISBN)
Description
Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key facets of modeling, including creative and empirical model construction, model analysis, and model research, and provides myriad opportunities for practice. The authors apply a proven six-step problem-solving process to enhance your problem-solving capabilities -- whatever your level. In addition, rather than simply emphasizing the calculation step, the authors first help you learn how to identify problems, construct or select models, and figure out what data needs to be collected. By involving you in the mathematical process as early as possible -- beginning with short projects -- this text facilitates your progressive development and confidence in mathematics and modeling.
More details
Edition
5th edition
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 238 mm
Width: 192 mm
Thickness: 35 mm
Weight
1232 gr
ISBN-13
978-1-285-05090-4 (9781285050904)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Frank R. Giordano began his teaching career at the United States Military Academy, West Point, New York, where he served for 21 years, including seven years as professor and head of the Department of Mathematical Sciences. He currently is a Professor of Defense Analysis and Operations Research at the Naval Postgraduate School, Monterey, CA. He has served as project director for several major National Science Foundation grants devoted to modeling, including one to initiate a high school modeling contest (the HiMCM). For the past 15 years, he has served as the director of the Mathematical Contest in Modeling. Frank R. Giordano began his teaching career at the United States Military Academy, West Point, New York, where he served for 21 years, including seven years as professor and head of the Department of Mathematical Sciences. He currently is a Professor of Defense Analysis and Operations Research at the Naval Postgraduate School, Monterey, CA. He has served as project director for several major National Science Foundation grants devoted to modeling, including one to initiate a high school modeling contest (the HiMCM). For the past 15 years, he has served as the director of the Mathematical Contest in Modeling. William P. Fox is a professor in the Department of Defense Analysis at the Naval Postgraduate School in Monterey, CA. Previously; he was an instructor, assistant professor, associate professor, and professor of operations research while serving in the Department of Mathematical Sciences at the United States Military Academy (USMA) for more than 12 years. He also served as the Chair of Mathematics at Francis Marion University for eight years before coming to the Naval Postgraduate School. Dr. Fox has taught a variety of mathematics courses in his career, and his areas of interest include mathematical modeling, optimization, statistics, and simulations. He holds his undergraduate degree from USMA, a master's degree from the Naval Postgraduate School, and a Ph.D. from Clemson University. Steven B. Horton is professor of operations research and acting deputy head in the Department of Mathematical Sciences at the United States Military Academy (USMA), West Point. He has taught a variety of mathematics courses at West Point since joining the faculty in 1991. Dr. Horton holds his undergraduate degree from USMA, master's degrees from Georgia Tech and the National Defense University, and a Ph.D. from Georgia Tech.
Content
1. Modeling Change.
2. The Modeling Process, Proportionality, and Geometric Similarity.
3. Model Fitting.
4. Experimental Modeling.
5. Simulation Modeling.
6. Discrete Probabilistic Modeling.
7. Optimization of Discrete Models.
8. Modeling with Graph Theory.
9. Modeling with Decision Theory.
10. Game Theory.
11. Modeling with a Differential Equation.
12. Modeling with Systems of Differential Equations.
13. Optimization of Continuous Modeling.
14. Dimensional Analysis and Similitude.
15. Graphs of Functions as Models.
Appendix A: Problems from the Mathematics Contest in Modeling, 1985-2007.
Appendix B: An Elevator Simulation Model.
Appendix C: The Revised Simplex Method.
Appendix D. Brief Review of Integration Techniques.
2. The Modeling Process, Proportionality, and Geometric Similarity.
3. Model Fitting.
4. Experimental Modeling.
5. Simulation Modeling.
6. Discrete Probabilistic Modeling.
7. Optimization of Discrete Models.
8. Modeling with Graph Theory.
9. Modeling with Decision Theory.
10. Game Theory.
11. Modeling with a Differential Equation.
12. Modeling with Systems of Differential Equations.
13. Optimization of Continuous Modeling.
14. Dimensional Analysis and Similitude.
15. Graphs of Functions as Models.
Appendix A: Problems from the Mathematics Contest in Modeling, 1985-2007.
Appendix B: An Elevator Simulation Model.
Appendix C: The Revised Simplex Method.
Appendix D. Brief Review of Integration Techniques.