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.
Appendix A introduces R. Mathematics is used at the level of subscripts and summations Refreshers are pr
