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Linear optimization for management

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Published by Petrocelli/Charter in New York .
Written in English

Subjects:

  • Linear programming.,
  • Operations research.

Book details:

Edition Notes

Includes bibliographies and index.

StatementSang M. Lee.
SeriesPetrocelli/Charter modern decision analysis series
Classifications
LC ClassificationsHD20.5 .L39
The Physical Object
Paginationxiii, 449 p. :
Number of Pages449
ID Numbers
Open LibraryOL4884599M
ISBN 100884053229
LC Control Number76014430

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This book is designed for either self-study by professionals or classroom work at the undergraduate or graduate level for technical students. Like the field of optimization itself, which involves many classical disciplines, the book should be useful to system analysts, operations researchers, numerical analysts, management scientists, and other. 9 Linear Optimization INTRODUCTION In Chapter 8, we introduced optimization with Solver, and we focused on nonlinear programming. The nonlinear solver is the default algorithm in Solver, and - Selection from Management Science: The Art of Modeling with Spreadsheets, 4th Edition [Book]. The book provides a broad introduction to both the theory and the application of optimization with a special emphasis on the elegance, importance, and usefulness of the parametric self-dual simplex method. The book assumes that a problem in “standard form,” is a problem with inequality constraints and nonnegative variables.   Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions and derive useful planning information from the output of these algorithms. While almost all the best known books on LP Manufacturer: Springer.