"Linear Programming for Decision-Making: A Practical Guide with Julia, R, and Python" by William Sewell immerses readers in the transformative optimization field through linear programming. Beginning with the seminal contributions of George Dantzig and Leonid Kantorovich, Sewell traces the evolution of these mathematical theories from their origins in mid-20th-century industrial and economic challenges.
The book unveils the foundational principles of linear programming, illustrating how it optimally allocates scarce resources to maximize efficiency and outcomes. Sewell integrates practical applications across diverse fields—from military logistics and telecommunications to modern-day global supply chains. By emphasizing the application of Julia, R, and Python programming languages, Sewell equips readers with the tools to effectively implement and utilize these powerful mathematical models in contemporary settings.
Beyond theoretical exploration, Sewell introduces readers to pioneering figures who have leveraged linear programming to solve complex real-world problems, highlighting their successes and the enduring impact of their innovations. Whether you're a novice exploring the fundamentals or a seasoned professional seeking advanced insights, this book is a comprehensive guide to harnessing the power of optimization for informed decision-making.

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