Mathematical Optimization Exploration: “When Least Is Best” Hardcover
When Least Is Best’ unravels the fascinating world of mathematical extrema, showcasing how mathematicians through the ages have grappled with minimizing and maximizing values in diverse scenarios. Author Paul J. Nahin delves into captivating questions like photographing a speeding bullet, understanding the path of light through glass, and navigating forest mazes. From historical accounts to modern optimization techniques, Nahin’s exploration takes readers on a journey through Dido’s problem, Torricelli’s challenge, and beyond, revealing the intriguing interplay of mathematics and real-world applications. Topics Covered: Extremal Problems in Mathematics Optimization Strategies Historical Perspectives on Minima and Maxima Real-World Applications of Mathematical Principles Experimentation and Exploration in Mathematical
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