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  Quantitative Methods for Business
 

Quantitative Methods For Business

by Anderson David R.

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  Annotations: Annotations that highlight key points and provide additional insights for the student are a continuing feature of this edition. These annotations, which appear in the margins, are designed to provide emphasis and enhance understanding of the terms and concepts being presented in the text.
Notes & Comments: At the end of many sections, "Notes & Comments" give additional insights about the methodology being discussed and its application. These include warnings about or limitations of the methodology, recommendations for application, and brief descriptions of additional technical considerations.
Self-Test Exercises: Certain exercises are identified as self-test exercises. Completely worked-out solutions for these exercises are provided in Appendix G, entitled Self-Test Solutions and Answers to Even-Numbered Problems, located at the end of the book. Students can attempt the self-test problems and immediately check the solutuions to evaluate their understanding of the concepts presented in the chapter. In response to requests from professors using our textbooks, we now provide the answers to even-numbered problems in this same appendix.
Q.M. in Action: These articles are presented throughout the text and provide a summary of an application of quantitative methods found in business today. Adaptations of materials from Interfaces and OR/MS Today articles and write-ups provided by practitioners provide the basis for the applications in this feature.
New Chapter 12: Advanced Optimization Applications - A new chapter on optimization applications has been added. Applications include portfolio ion, a nonlinear extension of the RMC problem, and ing stocks to go into an index mutual fund. This chapter introduces the idea of a nonlinear optimization model, but strictly from an applications standpoint. The Management Scientist cannot be used for nonlinear problems, and LINGO or Premium Solver are required.
New Documented Solutions - The Management Scientist will not be used in future editions of this book. We encourage adopters of this edition to use either LINGO or Premium Solver when solving optimization problems. To make it easy for new users of LINGO or Excel Premium Solver, we provide both LINGO and Excel files with the model formulation for every optimization problem that appears in the body of the text in Chapters 7 through 12. The model files are well documented and should make it easy for the user to understand the model formulation.
New Appendix A: Building Spreadsheet Models - This is not a book on spreadsheet modeling. However, spreadsheets are a very valuable modeling tool. This Appendix will prove useful to professors and students wishing to solve optimization models with Premium Solver. The appendix also contains a section on the principles of good spreadsheet modeling and a section on auditing tips. Exercises are also provided.
Updated Chapter 10: Distribution and Network Models - This replaces the old Chapter 10, "Transportation, Assignment, and Transshipment Problems" from the tenth edition. We have added sections on the shortest route problem and the maximal flow problem. However, in keeping with the theme of the book, we do not burden the student with any algorithms. All of the models in the chapter are presented under the unifying theme of linear programming.
New Q.M. in Action, Cases, and Problems - Q.M. in Action is the name of the short summaries that describe how the quantitative methods being covered in the chapter have been used in practice. In this edition you will find numerous Q.M. in Action vignettes, cases, and homework problems. ISBN - 9788131518960
 


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