How to Solve It
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How to Solve It
A perennial bestseller by eminent mathematician G. Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be "reasoned" out--from building a bridge to winning a
A perennial bestseller by eminent mathematician G. Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be "reasoned" out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.
Series: Princeton Science Library
View allBook Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
How to Solve It by G. Polya is highly recommended for teachers and graduate students seeking to enhance problem-solving skills. It's praised for its methodological insights and accessible exposition, making it both valuable and entertaining for those interested in heuristic reasoning. Reviewers highlight its enduring relevance and its ability to inspire creative thinking, particularly in the sciences and mathematics.
Book Details
INFORMATION
ISBN: 9780691164076
Publisher: Princeton University Press
Format: Paperback / softback
Date Published: 27 October 2014
Country: United States
Imprint: Princeton University Press
Illustration: 31 b/w illus.
Contributors:
- Foreword by John H. Conway
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Width: 140.0mm
Height: 216.0mm
Weight: 255g
Pages: 288
About the Author
G. Polya (18871985) was one of the most influential mathematicians of the twentieth century. His basic research contributions span complex analysis, mathematical physics, probability theory, geometry, and combinatorics. He was a teacher par excellence who maintained a strong interest in pedagogical matters throughout his long career. Even after his retirement from Stanford University in 1953, he continued to lead an active mathematical life. He taught his final course, on combinatorics, at the age of ninety. John H. Conway (19372020) was professor emeritus of mathematics at Princeton University. He was awarded the London Mathematical Society's Polya Prize in 1987. He was interested in many branches of mathematics and invented a successor to Polya's notation for crystallographic groups.
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