Biomechanics_5

Biomechanics_5 - Lecture 5 BMEn 3001 Biomechanics 12...

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Lecture 5 BMEn 3001 Biomechanics 12 September 2008
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Last Lecture • Matrix Inverse • The eigenproblem (in brief) • Condition Number
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Topics for Today • Special Matrices – Symmetric – Banded – Sparse • Iterative Solution Techniques
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Symmetric Matrices • As we discussed earlier, a square matrix A is symmetric iff A ij = A ji . • It turns out that a symmetric matrix can be decomposed by a special subclass of LU-type factorizations. • The Cholesky decomposition reduces A to a product of a lower-triangular matrix and its transpose: A = Q Q T
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Cholesky Decomposition • The Cholesky Decomposition is similar to the (Doolittle) LU decomposition except for some bells and whistles, which may be seen in any standard text. • Cholesky decomposition takes about half of the time and storage space of LU.
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Sparse Matrices • Most of the matrices one encounters in class are small (lending themselves to solution by hand) and have no special structure. • In practice, however, one often encounters large matrices with many zeroes. Such matrices are called sparse .
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Banded Matrices • Consider a matrix that has all of its nonzero elements bunched along the diagonal.
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Banded Matrices • Consider a matrix that has all of its nonzero elements bunched along the diagonal.
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This note was uploaded on 09/16/2008 for the course BMEN 3001 taught by Professor Victorbarocas during the Spring '08 term at Minnesota.

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Biomechanics_5 - Lecture 5 BMEn 3001 Biomechanics 12...

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