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Books for Learning Mathematics

Cambridge mathematical reading list (updated link): https://www.maths.cam.ac.uk/documents/reading-list.pdf/
Alternative link: https://www.perse.co.uk/wp-content/uploads/2016/05/Cambridge-reading-list.pdf

GENERAL
Flatland – Edwin Abbott (https://amzn.to/398G3Cb)
Fermat's last theorem – Simon Singh (https://amzn.to/39kpPGz)
A Mathematician’s Apology - G.H. Hardy (https://amzn.to/39eC1bs)

CALCULUS
Early transcendentals – James Stewart (https://amzn.to/3fscbCe)
Calculus – Michael Spivak (https://amzn.to/2UOhL8k)

LINEAR ALGEBRA
Elementary Linear Algebra – Howard Anton (https://amzn.to/3nLX2yr)

DIFFERENTIAL EQUATIONS:
Partial Differential Equations an introduction – Walter Strauss (https://amzn.to/35RrKjA)
James Nearing, Mathematical Tools for Physics: http://www.physics.miami.edu/~nearing/mathmethods/

COMPLEX ANALYSIS:
Visual complex analysis – Tristian Needham (https://amzn.to/2KxwQt7)

OTHER
Principles of mathematical analysis – Walter Rudin (https://amzn.to/3pR7SFa)
Analysis I – Terence Tao (https://amzn.to/2IZxX3W)
Algebraic topology – Allen Hatcher (https://amzn.to/3lUJqAk)
Mathematical methods in the physical sciences – Mary Boas (https://amzn.to/35VdmGV)
Abstract algebra – Dummit and Foote (https://amzn.to/2HoL2TU)
Discrete math and applications – Kenneth Rosen (https://amzn.to/2J6qcck)
How to think like a mathematician - Houston (https://amzn.to/338oNsZ)

See also the John Baez page for leaning math: http://math.ucr.edu/home/baez/books.html#math

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Some Amazon affiliate links have been included (I get a small reward from Amazon but it costs you no extra). I encourage you to check your library first.

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4 июля 2018 г. 8:55:01
00:10:43
Яндекс.Метрика