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Introduction to Numerical Analysis -Math 104B Monday to Thursday, 12:30-13:35am, Girvetz 1116
 

Summary: Introduction to Numerical Analysis - Math 104B
Summer2011
Monday to Thursday, 12:30-13:35am, Girvetz 1116
Weekly Readings
Sessions 1-6
Study: Sections 6.1, 6.2, 6.5 and 6.6.
Review: Sections 6.3 and 6.4.
Read: Section 6.7.
Objetives:
Solving linear systems of equations: Gauss elimination.
Pivoting.
Matrix Factorization.
Computational complexity: How computationally expensive are
our algorithms? How do they scale with the number of equations?
To understand how direct methods can be simplified for special
types of matrices, such as tridiagonal matrices.
To learn new forms of factorization for special matrices, in particu-
lar, the Choleskii and the LDLT
factorization for positive definite
matrices.

  

Source: Akhmedov, Azer - Department of Mathematics, University of California at Santa Barbara

 

Collections: Mathematics