06-23-2026, 07:07 AM
Computational Optimization Open Textbook
BY Cornell University
Summary
The Cornell University Computational Optimization Open Textbook is an open-source educational resource that introduces the ideas, methods, and real-world applications of optimization—the science of finding the best possible solution under given conditions.
Created through collaboration between Professor Fengqi You, teaching assistants, and students, the textbook covers a wide range of topics including linear programming, nonlinear optimization, mixed-integer problems, global optimization, dynamic programming, optimization under uncertainty, and modern methods used in machine learning such as Adam and stochastic gradient descent.
It is designed to make complex mathematical optimization techniques more accessible by combining theory, algorithms, examples, and applications from engineering, computer science, and data analytics.
BOOK
BY Cornell University
Summary
The Cornell University Computational Optimization Open Textbook is an open-source educational resource that introduces the ideas, methods, and real-world applications of optimization—the science of finding the best possible solution under given conditions.
Created through collaboration between Professor Fengqi You, teaching assistants, and students, the textbook covers a wide range of topics including linear programming, nonlinear optimization, mixed-integer problems, global optimization, dynamic programming, optimization under uncertainty, and modern methods used in machine learning such as Adam and stochastic gradient descent.
It is designed to make complex mathematical optimization techniques more accessible by combining theory, algorithms, examples, and applications from engineering, computer science, and data analytics.
BOOK
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