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Mathematical Optimization Exploration: “When Least Is Best” Hardcover

Mathematical Optimization Exploration: "When Least Is Best" Hardcover
Mathematical Optimization Exploration: "When Least Is Best" Hardcover - Image 2

Mathematical Optimization Exploration: “When Least Is Best” Hardcover

$5.24

Explore mathematical optimization with “When Least Is Best.” Discover how mathematicians have solved extremal problems—minimizing and maximizing values in real life, from forest mazes to light paths. Paul J. Nahin explores historical challenges (Dido’s problem) and modern techniques, making complex math approachable for all readers.

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SKU: A107-127327944978
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Description

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.
 
    1. 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
 

Additional information

Weight 1.63 lbs
Dimensions 8 × 11 × 1 in
Book Title

When Least Is Best: How Mathematicians Discovered
Country of Origin

United States
Number of Pages

392 Pages
Publication Name

When Least Is Best : How Mathematicians Discovered Many Clever Ways to Make Things As Small (or As Large) As Possible
Language

English
Publisher

Princeton University Press
Publication Year

2003
Subject

History & Philosophy, Mathematical Analysis
Features

Revised
Type

Textbook
Item Weight

24.1 Oz
Item Length

9.2 in
Subject Area

Mathematics
Author

Paul J. Nahin
Item Width

6 in
Format

Hardcover

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