
Operations Research for Social Good
A Practitioner's Introduction Using SAS and Python
- 156 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Operations Research for Social Good
A Practitioner's Introduction Using SAS and Python
About this book
Advance your knowledge of operations research and socialgood!
Recent technological developments allow data analytics practitionersto solve large problems better and faster with state-of-the-art artificialintelligence (AI) tools. At the same time, humanity faces overarchingchallenges such as the climate crisis, child malnutrition, systemic racism, and global pandemics, among others. Operations Research for SocialGood: A Practitioner's Introduction Using SAS and Python showcasesoperations research (OR) methodologies typically required in engineeringcurricula to applications targeted to make this world a better place.
Designed for data scientists, analytics and operations researchpractitioners, and graduate-level students interested in learningoptimization modeling with applied use cases, this book provides theskills to model and solve OR problems with both SAS and Python as wellas practical tools and tips to bridge the gap between academic learningand real-world implementations based on Data4Good initiatives.
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Information
Table of contents
- Cover
- Copyright Page
- Contents
- About this Book
- About the Author
- Dedication
- 1 Introduction: Mathematical Optimization and the Data4Good Movement
- 2 Mathematical Optimization Landscape
- 3 Use Case Structure and Code Initialization
- 4 Linear Programming
- 5 Mixed Integer Linear Programming
- 6 Nonlinear Programming
- 7 Network Optimization
- 8 Multicriteria Optimization
- 9 Practice Problem Solutions
- Bibliography