@GSMC/서용덕: Convex Optimization
[Boyd & Vandenberghe] Appendix C: Numerical linear algebra background
maetel
2009. 2. 2. 20:54
C.1 Matrix structure and algorithm complexity
C.2 Solving linear equations with factored matrices
C.3 LU, Cholesky, and LDL^t facotrization
C.4 Block elimination and Schur complements
C.5 Solving underdetermined linear equations
http://en.wikipedia.org/wiki/QR_decomposition
http://mathworld.wolfram.com/QRDecomposition.html
http://en.wikipedia.org/wiki/LU_decomposition
http://mathworld.wolfram.com/LUDecomposition.html
C.2 Solving linear equations with factored matrices
C.3 LU, Cholesky, and LDL^t facotrization
C.4 Block elimination and Schur complements
C.5 Solving underdetermined linear equations
http://en.wikipedia.org/wiki/QR_decomposition
http://mathworld.wolfram.com/QRDecomposition.html
http://en.wikipedia.org/wiki/LU_decomposition
http://mathworld.wolfram.com/LUDecomposition.html