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--- gibson:teaching:fall-2012:iam961 [2012/08/29 16:51]
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+====== IAM 961: Numerical Linear Algebra ======
+Instructor: John Gibson, Kingsbury N309E, john.gibson@unh.edu
+Numerical linear algebra is the science of solving systems of linear equations $Ax=b$ and the eigenvalue problem
+$A v = \lambda v$ on a digital computer --problems are at the root of the vast bulk of scientific computation.
+Compared to classical linear algebra, the finite precision and speed of numerical mathematics brings in a number
+of important new concepts, including conditioning, stability, and accuracy, and efficiency. We will develop these
+ideas and learn the most important numerical linear algebra algorithms: QR, LU, SVD decompositions, Gramm-Schmidt orthogonalization, the QR eigenvalue algorithm, and Krylov subspace methods. Time permitting, we will also study
+key algorithms for function optimization and the solution of systems of nonlinear equations.
+^ HWs ^ due date ^ comments ^
+| {{:gibson:teaching:fall-2012:iam961:hw1.pdf|HW1}} | 9/17 | |
+| {{:gibson:teaching:fall-2012:iam961:hw2.pdf|HW2}} | 10/17 | |
+| [[:gibson:teaching:fall-2012:iam961:hw3|HW3]] | 10/31| |
+^ lecture stuff ^ comments ^
+| [[:gibson:teaching:fall-2012:iam961:svddemo.m]] | |

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