Math 192

Math 192: Scientific Computation II .
Professor: Jingfang Huang.
E-mail: huang@amath.unc.edu
Phone: (919) 962-9621.
Office: 314 Phillips Hall

Homework:

Theoretical homework, Programming projects, and the solutions:

Notes:

Class Notes, Course Syllabus, sample programs, etc.

Announcements:

Templates for the solution of linear systems: Building blocks for iterative methods. Here, you can find a very detailed discuss about iterative methods. We covered in class: Jacobi, Gauss-Seidel, SOR, and Conjugate Gradient methods. You can also find Survey of recent Krylov methods.
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain. By J. R. Shewchuk. Another way to understand Conjugate Gradient method, instead of using the Krylov subspace concept.
Gaussian Elimination and QR Decomposition From mathworld.wolfram.com. You can find more such websites by searching the net.
Mathtools.net Where you can find info for your programming needs.
Several books By Nick Trefethen
Materials from James Demmel's website. Numerical Linear Algebra
A good reference by Randall J. LeVeque : Finite Difference Methods for Differential Equations
The course syllabus is available.
A Mathematica Tutorial Find out how Mathematica will help with your homework^_^.
An Introduction to Matlab, A Matlab Tutorial , Or check Matlab on bass.gmu.edu for matlab links -- Matlab makes your programming easier.

This is the official class web page. Announcements, homework description, and schedule information will be put here.
You may also find pointers to class notes, homework and solutions, and useful links.


Math 192: Scientific Computation II . Professor: Jingfang Huang. E-mail: huang@amath.unc.edu Phone: (919) 962-9621. Office: 314 Phillips Hall

Homework:	Theoretical homework, Programming projects, and the solutions:

Notes:	Class Notes, Course Syllabus, sample programs, etc.

Announcements:	Templates for the solution of linear systems: Building blocks for iterative methods. Here, you can find a very detailed discuss about iterative methods. We covered in class: Jacobi, Gauss-Seidel, SOR, and Conjugate Gradient methods. You can also find Survey of recent Krylov methods. An Introduction to the Conjugate Gradient Method Without the Agonizing Pain. By J. R. Shewchuk. Another way to understand Conjugate Gradient method, instead of using the Krylov subspace concept. Gaussian Elimination and QR Decomposition From mathworld.wolfram.com. You can find more such websites by searching the net. Mathtools.net Where you can find info for your programming needs. Several books By Nick Trefethen Materials from James Demmel's website. Numerical Linear Algebra A good reference by Randall J. LeVeque : Finite Difference Methods for Differential Equations The course syllabus is available. A Mathematica Tutorial Find out how Mathematica will help with your homework^_^. An Introduction to Matlab, A Matlab Tutorial , Or check Matlab on bass.gmu.edu for matlab links -- Matlab makes your programming easier. This is the official class web page. Announcements, homework description, and schedule information will be put here. You may also find pointers to class notes, homework and solutions, and useful links.