Results 181 to 190 of about 160,633 (221)
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International Conference on Electromagnetics in Advanced Applications, 2021
Deep-learning techniques have been widely applied in scientific forward and inverse modeling. Recent advances in high-performance tensor processing hardware and software also provide new opportunities for accelerated linear algebra calculations.
Yanyan Hu +3 more
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Deep-learning techniques have been widely applied in scientific forward and inverse modeling. Recent advances in high-performance tensor processing hardware and software also provide new opportunities for accelerated linear algebra calculations.
Yanyan Hu +3 more
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Fast and Inverse-Free Algorithms for Deflating Subspaces
Linear Algebra and its Applications, 2023This paper explores a key question in numerical linear algebra: how can we compute projectors onto the deflating subspaces of a regular matrix pencil $(A,B)$, in particular without using matrix inversion or defaulting to an expensive Schur decomposition?
J. Demmel +2 more
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Alternating direction method of multiplier for solving electromagnetic inverse scattering problems
International journal of microwave and wireless technologies, 2020In this paper, a novel alternating direction method of multiplier (ADMM) is proposed to solve the inverse scattering problems. The proposed method is suitable for a wide range of applications with electromagnetic detection. In order to solve the internal
Jian Liu +3 more
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Gaussian Process Regression for Inverse Problems in Linear PDEs
IFAC-PapersOnLineThis paper introduces a computationally efficient algorithm in system theory for solving inverse problems governed by linear partial differential equations (PDEs).
Xin Li +2 more
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Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
arXiv.orgAll inverse problems rely on data to recover unknown parameters, yet not all data are equally informative. This raises the central question of data selection.
Kathrin Hellmuth +3 more
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Localized nonlinear functional equations and two sampling problems in signal processing
Advances in Computational Mathematics, 2013Let 1 ≤ p ≤ ∞. In this paper, we consider solving a nonlinear functional equation f (x) = y, where x, y belong to ℓpand f has continuous bounded gradient in an inverse-closed subalgebra of ℬ (ℓ2), the Banach algebra of all bounded linear operators on the
Qiyu Sun
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How to Deal with Uncertainty in Inverse and Classification Problems
, 2020J. Fernández-Martínez +7 more
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Parameter estimation and inverse problems
, 2005R. Aster, Brian Borchers, C. Thurber
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Stochastic Algorithms in Linear Algebra - beyond the Markov Chains and von Neumann - Ulam Scheme
Numerical Methods and Applications, 2010K. Sabelfeld
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