Is Math Real?: How Simple Questions Lead Us to Mathematics' Deepest Truths
(Adobe EPUB eBook, Kindle Book, OverDrive Read)

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Author:
Cheng, Eugenia
Published:
Basic Books 2023
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Adobe EPUB eBook, Kindle Book, OverDrive Read
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Checked Out
Description

Winner of the Los Angeles Times Book Prize 
A New Scientist Best Book of 2023
One of the world’s most creative mathematicians offers a new way to look at math—focusing on questions, not answers 

Where do we learn math: From rules in a textbook? From logic and deduction? Not really, according to mathematician Eugenia Cheng: we learn it from human curiosity—most importantly, from asking questions. This may come as a surprise to those who think that math is about finding the one right answer, or those who were told that the “dumb” question they asked just proved they were bad at math. But Cheng shows why people who ask questions like “Why does 1 + 1 = 2?” are at the very heart of the search for mathematical truth.  

Is Math Real? is a much-needed repudiation of the rigid ways we’re taught to do math, and a celebration of the true, curious spirit of the discipline. Written with intelligence and passion, Is Math Real? brings us math as we’ve never seen it before, revealing how profound insights can emerge from seemingly unlikely sources.   

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Subjects
Subjects
History
Mathematics
Science
Nonfiction
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Street Date:
08/15/2023
Language:
English
ISBN:
9781541601840
ASIN:
B0BP2HWMP6
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APA Citation (style guide)

Eugenia Cheng. (2023). Is Math Real?: How Simple Questions Lead Us to Mathematics' Deepest Truths. Basic Books.

Chicago / Turabian - Author Date Citation (style guide)

Eugenia Cheng. 2023. Is Math Real?: How Simple Questions Lead Us to Mathematics' Deepest Truths. Basic Books.

Chicago / Turabian - Humanities Citation (style guide)

Eugenia Cheng, Is Math Real?: How Simple Questions Lead Us to Mathematics' Deepest Truths. Basic Books, 2023.

MLA Citation (style guide)

Eugenia Cheng. Is Math Real?: How Simple Questions Lead Us to Mathematics' Deepest Truths. Basic Books, 2023.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Winner of the Los Angeles Times Book Prize 
A New Scientist Best Book of 2023
One of the world’s most creative mathematicians offers a new way to look at math—focusing on questions, not answers 

Where do we learn math: From rules in a textbook? From logic and deduction? Not really, according to mathematician Eugenia Cheng: we learn it from human curiosity—most importantly, from asking questions. This may come as a surprise to those who think that math is about finding the one right answer, or those who were told that the “dumb” question they asked just proved they were bad at math. But Cheng shows why people who ask questions like “Why does 1 + 1 = 2?” are at the very heart of the search for mathematical truth.  

Is Math Real? is a much-needed repudiation of the rigid ways we’re taught to do math, and a celebration of the true, curious spirit of...

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Winner of the Los Angeles Times Book Prize 
A New Scientist Best Book of 2023
One of the world’s most creative mathematicians offers a new way to look at math—focusing on questions, not answers 

Where do we learn math: From rules in a textbook? From logic and deduction? Not really, according to mathematician Eugenia Cheng: we learn it from human curiosity—most importantly, from asking questions. This may come as a surprise to those who think that math is about finding the one right answer, or those who were told that the “dumb” question they asked just proved they were bad at math. But Cheng shows why people who ask questions like “Why does 1 + 1 = 2?” are at the very heart of the search for mathematical truth.  

Is Math Real? is a much-needed repudiation of the rigid ways we’re taught to do math, and a celebration of the true, curious spirit of the discipline. Written with intelligence and passion, Is Math Real? brings us math as we’ve never seen it before, revealing how profound insights can emerge from seemingly unlikely sources.   

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