Optimization Modelling Using R

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.

About the author

Dr. Timothy Anderson is the Department Chair of the Engineering and Technology Management at Portland State University. He earned an Electrical Engineering degree from the University of Minnesota, as well as both M.S. and Ph.D. degrees in Industrial and Systems Engineering from the Georgia Institute of Technology. He leads the Extreme Technology Analytics research group. With over 40 refereed publications, current research interests include analytics, benchmarking, technology forecasting, data mining, and new product development. He is a Sequoyah Fellow of the American Indian Science and Engineering Society. Dr. Anderson is also a past President of Omega Rho, the International Honor Society for Operations Research.

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.

Product details

• Authors: Timothy R. Anderson, Anderson Timothy R.
• Publisher: Taylor & Francis Ltd.
• Content: Book
• Product form: Paperback / Softback
• Publication date: 26.08.2024
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; Humanities, art, music > Art > Interior design, design
• EAN: 9781032290768
• ISBN: 978-1-0-3229076-8
• Pages: 274
• Series: Chapman & Hall/CRC Series in Operations Research
• Subjects: Operations Research, Product Design, MATHEMATICS / General, MATHEMATICS / Optimization, MATHEMATICS / Applied, MATHEMATICS / Linear & Nonlinear Programming, BUSINESS & ECONOMICS / Operations Research, TECHNOLOGY & ENGINEERING / Operations Research, Data Envelopment Analysis, Supply chain analytics, ROI, Probability & statistics, Mathematical theory of computation, Applied mathematics, Engineering: general, Maths for engineers, Probability and statistics, Linear programming, Constraint Programming, Operations Research Techniques, Simplex algorithm, quantitative modeling, sudoku puzzle, resource allocation methods, Shadow Prices, graduate level coursework, reproducible optimization modeling in R, Objective Function, MIP Problem, Objective Function Coefficient, Efficient DMUs, LP Relaxation, Slack Maximization, Minimax Objective Function, Optimal Production Plan, Efficiency Score, Multiplier Weights, Warehouse Location Problem, GLPK