Optimization modelling using R / Timothy R Anderson.

By:

Anderson, Timothy R

Material type: Text

TextSeries: Series in operations researchPublication details: Boca Raton: CRC Press, 2023.Description: xxiii, 274 pISBN:

9780367507893

Subject(s):

DDC classification:

519.6 AND-23

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Indian Institute of Management Raipur Reference	Reference	519.6 AND-23 (Browse shelf(Opens below))	Not for loan Damaged		13156

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Previous	519.50285 UNP-22 Python for Probability, Statistics, and Machine Learning /	519.52 JIA-22 Large sample techniques for statistics	519.54 DIN-24 first course in causal inference /	519.6 AND-23 Optimization modelling using R / Timothy R Anderson.	519.6 COR-21 Numerical Methods and Optimization : Theory and Practice for Engineers /	519.7 GOE-24 An introduction to robust combinatorial optimization : concepts, models and algorithms for decision making under uncertainty / Marc Goerigk & Michael Hartisch.	612.8 GAR-22 Biological mind : a philosophical introduction / Justin Garson.	Next

Summary: This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R. With the rapid rise of interest in data analytics, a data analytics platform is key. Working technology and business professionals need an awareness of the tools and language of data analysis. R reduces the barrier to entry for people to start using data analytics tools. Philosophically, the book emphasizes creating formulations before going into implementation. Algebraic representation allows for clear understanding and generalization of large applications, and writing formulations is necessary to explain and convey the modeling decisions made.

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