Some other references¶

Some of the books listed below are SIAM e-books and available free if you access them from a UW computer. Or if you are off-campus, you can gain access by using the UW library off-campus proxy.

See also October 13, 2011 Math library news for more tips on ebooks.

For more SIAM e-book titles related to numerical linear algebra, see Linear Algebra and Matrix Theory list (See also the list of SIAM textbooks on this topic).

Linear algebra¶

[StrangBook]

G. Strang, Introduction to Linear Algebra, Wellesley-Cambridge and SIAM, 2009.

[StrangClass]

G. Strang, Linear Algebra, free on-line course course from MIT. (Great instructor!)

[Demmel]

J. W. Demmel, Applied Numerical Linear Algebra, SIAM e-book, 1997.

[Stewart-1]

G. W. Stewart, Matrix Algorithms: Volume 1: Basic Decompositions, SIAM e-book, 1998.

[Stewart-2]

G. W. Stewart, Matrix Algorithms: Volume 2: Eigensystems, SIAM e-book, 2001.

Matlab¶

[Driscoll]

T. A. Driscoll, Learning MATLAB, SIAM e-book, 2009.

[Higham]

D. J. Higham and N. J. Higham, Matlab Guide: Second Edition SIAM e-book, 2005.

[Moler]

C. B. Moler, Numerical Computing with MATLAB, SIAM e-book, 2004.

Python¶

[Dive-into-Python]

M. Pilgram, Dive Into Python,.

[Python]

G. van Rossum, An Introduction to Python,

Latex¶

[HighamChapter]

N. J. Higham, Tex and Latex Chapter from: <i>Handbook of Writing for the Mathematical Sciences</i>, Second Edition, SIAM e-book. (See also Appendix B for latex symbols)

[GriffithsHigham]

D.F. Griffiths and D.J. Higham, Learning LaTeX, SIAM, 1997

Advanced topics¶

[Dongarra-Duff]