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This book serves as an introductory text in mathematical programming and optimization for students having a mathematical background that includes one semester of linear algebra and a complete calculus sequence. It includes computational examples to aid students develop computational skills.
Introduction to Linear Programming
Linear and Nonlinear Programming with Maple
Basic Mathematical Programming Theory
Nonlinear Programming
Introduction to Optimization
Mathematical Programming for Operations Researchers and Computer Scientists
Introduction to Optimization with Applications in Machine Learning and Data Analytics
Introduction to Mathematical Programming and Network Science
Numerical Methods and Optimization
Linear and Convex Optimization
Business Optimization Using Mathematical Programming
Gentle Introduction to Optimization
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