Название: Operations Research for Social Good: A Practitioner’s Introduction Using SAS and Python
Автор: Natalia Summerville, Rob Pratt
Издательство: SAS Institute Inc.
Год: 2023
Страниц: 156
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Advance your knowledge of operations research and social good!

This book’s purpose is to showcase Operations Research (OR) methodologies to applications targeted to make this world a better place. This book also provides skills and practical examples to model and solve OR problems with both SAS and Python.

Each use case is a real-life application that has been implemented and proven successful. We solve use cases with both SAS and Python, driving students to learn both programming languages to solve OR problems and giving professors flexibility to choose which technology to focus on in their classes. This book does not cover operations research theory or optimization algorithms. Instead, it focuses on problem modeling and formulation.

Recent technological developments allow data analytics practitioners to solve large problems better and faster with state-of-the-art Artificial Intelligence (AI) tools. At the same time, humanity faces overarching challenges such as the climate crisis, child malnutrition, systemic racism, and global pandemics, among others. Operations Research for Social Good: A Practitioner’s Introduction Using SAS and Python showcases operations research (OR) methodologies typically required in engineering curricula to applications targeted to make this world a better place.

What Are the Prerequisites for This Book?
Knowledge of linear algebra (specifically algebraic summation syntax) is needed.

Is This Book for You?
Designed for data scientists, analytics and operations research practitioners, and graduate-level students interested in learning optimization modeling with applied use cases, this book provides the skills to model and solve OR problems with both SAS and Python as well as practical tools and tips to bridge the gap between academic learning and real-world implementations based on Data4Good initiatives.