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There is no required textbook for our class.
The following textbooks will be used as background for reading.
The books
are useful for background reading on scientific computing.
I will also use material from several other resources, some of which
are referenced below. Ask me for suggestions on where to read more
about the class material. NOTE: books published by SIAM can be
purchased at a discount for members at SIAM's website.
Books on the math and algorithms covered in the course
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Numerical Methods for Unconstrained Optimization and
Nonlinear Equations (Classics in Applied Mathematics) (Paperback) by
J. E. Dennis, Robert B. Schnabel, 378 pages, Society for Industrial &
Applied Mathematics (January 1, 1987) ISBN: 0898713641
- Classic by
Iterative Solution of Nonlinear Equations in Several Variables, J.M. Ortega, W. C. Rheinboldt, SIAM
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on multigrid specifically:
- A Multigrid Tutorial, by William Briggs,
Van Emden Henson, Steve McCormick, Publisher: SIAM: Society for
Industrial and Applied Mathematics; 2nd edition (July 1, 2000)
- see also
slides by Briggs/Henson
-
An Introduction to Multigrid Methods (Hardcover)
by Pieter Wesseling,
Publisher: R.T. Edwards,; Reprint edition (April 2004)
Books/resources on the scientific/parallel computing issues
-
Scientific Parallel Computing (Hardcover)
by L. Ridgway Scott, Terry Clark, Babak Bagheri,
(416 pages), Publisher: Princeton University Press (March 28, 2005), ISBN: 069111935X
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Parallel Programming in C with MPI and OpenMP
by Michael Quinn, Mc-Graw Hill, 2003.
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A First Course in Scientific Computing: Symbolic, Graphic, and
Numeric Modeling Using Maple, Java, Mathematica, and Fortran90
(Hardcover) by Rubin Landau, Hardcover: 472 pages, Publisher:
Princeton University Press; Bk&CD-Rom edition (April 11, 2005), ISBN:
0691121834
- Resources on programming using
CUDA
technology
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