[PDF] from cerfacs.frS Gratton, P Jiránek… - Manuscript, Feb, 2011 - cerfacs.fr Abstract. We consider the backward error associated with a given approximate solution of a linear least squares problem. The backward error can be very expensive to compute, as it involves the minimal singular value of certain matrix that depends on the problem data and the ... Cited by 2 - Related articles - View as HTML - All 2 versions
[PDF] from arxiv.orgH He, D Hu… - Arxiv preprint arXiv:1106.0707, 2011 - arxiv.org ... Based on the theory of linearleast-squares estimation, Brartke and Barto (1996) proposed two temporal-difference algorithms called the Least-Squares TD(0) algorithm (LS-TD(0)) and the Recursive Least- Squares TD(0) algorithm (RLS-TD(0)), respectively. ... Cited by 53 - Related articles - All 26 versions
[PDF] from stanford.eduK Carlberg, C Bou‐Mosleh… - International Journal for …, 2011 - Wiley Online Library A Petrov–Galerkin projection method is proposed for reducing the dimension of a discrete non-linear static or dynamic computational model in view of enabling its processing in real time. The right reduced-order basis is chosen to be invariant and is constructed using the ... Cited by 4 - Related articles - All 3 versions
[PDF] from epfl.chM Seeger - 2011 - moodlearchive.epfl.ch ... 2 Penalized LeastSquares Estimation Recall the setup of linearleastsquares estimation from the course. ERM with squared loss, or maximum likelihood estimation with Gaussian noise p(y|w) = N(y|Φw,σ2I) (σ2 the noise variance), results in ... View as HTML
TM Niebauer - Metrologia, 2011 - iopscience.iop.org ... This is followed by a non-linearleast- squares fit of the interferometer signal to a sinusoidal chirped waveform. ... The main power of our method, however, comes from the non-linear least-squares fit of the sinusoidal varying optical fringe signal. ... Cited by 1 - Related articles - All 3 versions
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