SIAMSC 2011 - PDF Preprint Papers

SIAMSC 2011

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SIAMSC
2011

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Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian

13 years 7 months ago

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We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...

H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...

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Id	Views	Title	Status

1	219	Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations	claim
2	199	On Efficient Numerical Approximation of the Bilinear Form c*A-1b	claim
3	177	Computing f(A)b via Least Squares Polynomial Approximations	claim
4	162	Accelerating the LSTRS Algorithm	claim
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8	142	Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations	claim
9	140	A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations	claim
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14	112	A Discontinuous Galerkin Solver for Front Propagation	claim
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17	102	Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators	claim
18	85	Refinement and Connectivity Algorithms for Adaptive Discontinuous Galerkin Methods	claim

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