Exploring Operations Research with R
eBook - ePub

Exploring Operations Research with R

  1. 395 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Exploring Operations Research with R

About this book

Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – which can be successfully applied to the field of operations research (OR). This approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g., simulation, linear programming, data science, and network science) with an understanding of R, including tools for data representation, manipulation, and analysis. The core aim of the book is to provide a self-contained introduction to R (both Base R and the tidyverse) and show how this knowledge can be applied to a range of OR challenges in the domains of public health, infectious disease, and energy generation, and thus provide a platform to develop actionable insights to support decision making.

Features

  • Can serve as a primary textbook for a comprehensive course in R, with applications in OR
  • Suitable for post-graduate students in OR and data science, with a focus on the computational perspective of OR
  • The text will also be of interest to professional OR practitioners as part of their continuing professional development
  • Linked to a Github repository including code, solutions, data sets, and other ancillary material

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Yes, you can access Exploring Operations Research with R by Jim Duggan in PDF and/or ePUB format, as well as other popular books in Mathematics & Operations. We have over one million books available in our catalogue for you to explore.

Information

Edition
1
Subtopic
Operations

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. About the Author
  10. I Base R
  11. II The tidyverse and Shiny
  12. III Using R for Operations Research
  13. Bibliography
  14. Index