Linear Programming: An Introduction to Finite Improvement Algorithms: Second Edition (Dover Books on Mathematics)
by Daniel Solow, Prof. Daniel Solow
This second edition of Linear Programming introduces finite improvement algorithms, providing a structured approach to solving optimization problems. Authored by Daniel Solow, it offers clear explanations and examples for students and professionals in mathematics, emphasizing practical computational methods for achieving optimal solutions efficiently.
About This Book
Linear Programming: An Introduction to Finite Improvement Algorithms, Second Edition, provides a comprehensive entry into the field of linear programming through the lens of finite improvement algorithms. Authored by Daniel Solow, this Dover Books on Mathematics publication updates the original work with refined explanations and examples.
The book focuses on algorithms that systematically improve solutions until optimality is achieved, emphasizing finite steps for practical computation. It covers foundational concepts essential for understanding optimization in various applications.
Designed for readers with basic mathematical background, it builds from simple problems to more complex scenarios, ensuring accessibility without overwhelming detail. This edition maintains the clarity and rigor that define Dover's mathematical series.
Whether for academic study or professional reference, the text serves as a reliable resource for mastering linear programming techniques through algorithmic innovation.
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