When Least Is Best

Embark on a captivating mathematical journey with When Least Is Best by Paul J. Nahin, published by Princeton University Press in 2021. This intriguing paperback spans 406 pages and delves into the fascinating world of extremes and their solutions. Discover how mathematics can answer compelling questions such as: What is the optimal way to photograph a speeding bullet? How can lost hikers navigate their way out of a dense forest? And why does light travel through glass in the shortest time possible?

Nahin expertly combines the rich history of mathematical extremum with engaging real-world applications, making complex concepts accessible and enjoyable for readers. Whether you're a seasoned mathematician or simply curious about the world around you, When Least Is Best will inspire and enlighten. Dive into this essential read and explore the beauty of mathematics in everyday life.