A First Course in Mathematical Modeling / Edition 4

A First Course in Mathematical Modeling / Edition 4

by Frank R. Giordano, William P. Fox, Steven B. Horton, Maurice D. Weir
     
 

View All Available Formats & Editions

ISBN-10: 0495011592

ISBN-13: 9780495011590

Pub. Date: 07/03/2008

Publisher: Cengage Learning

Now with discrete mathematics, this edition makes it possible to organize an entire course without the use of calculus. However, if you wish to cover the chapters requiring calculus, the book's unique organization permits use to concurrently teach the introductory calculus course — as early as the first semester of the freshman year. Plus, the book's rich

Overview

Now with discrete mathematics, this edition makes it possible to organize an entire course without the use of calculus. However, if you wish to cover the chapters requiring calculus, the book's unique organization permits use to concurrently teach the introductory calculus course — as early as the first semester of the freshman year. Plus, the book's rich choice of topics provide an introduction to the operations research and quantitative management science courses. This text gives students an opportunity to cover all phases of the mathematical modeling process, including creative and empirical model construction, model analysis, and model research using clearly defined techniques, such as modeling using graphs, modeling using proportionality, and modeling fitting.

Product Details

ISBN-13:
9780495011590
Publisher:
Cengage Learning
Publication date:
07/03/2008
Edition description:
Older Edition
Pages:
640
Product dimensions:
7.60(w) x 9.40(h) x 1.20(d)

Table of Contents

PART I: MODELING WITH GRAPHS. 1. Graphs of Functions as Models. PART II: THE MODELING PROCESS. 2. The Modeling Process. 3. Modeling Using Proportionality. 4. Model Fitting. PART IV: OPTIMIZATION MODELING. 5. Optimization I: Continuous Models. 6. Optimization II: Discrete Models. PART V: MODELING CHANGE. 7. Modeling Discrete Change. 8. Modeling Continuous Change. PART VI: MODELING FROM DATA. 9. Modeling from Experimental Data. 10. Dimensional Analysis. PART VII: MODELING CHANCE. 11. Simulation Modeling. 12. Stochastic Modeling.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >