Results 51 to 60 of about 82,072,160 (134)
Stochastic PDEs with multiscale structure [PDF]
, 2012 We study the spatial homogenisation of parabolic linear stochastic PDEs exhibiting a two-scale structure both at the level of the linear operator and at the level of the Gaussian driving noise.
Martin Hairer +3 more
core +1 more source
Molecular Oncology, Volume 20, Issue S1, Page 1-692, August 2026.Abstracts submitted to the ‘EACR 2026 Congress: Innovative Cancer Science’, from 08–11 June 2026 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley +1 more source
A bootstrap multi-user detector for CDMA based on Tikhonov regularization [PDF]
, 2003 A novel multi-user detection (MUD) technique for CDMA systems is introduced. The new method is well suited for cases in which the code cross correlation matrix is ill-conditioned.
Nix, AR +3 more
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Métodos de Maz'ia e Landweber para o problema de Cauchy elíptico [PDF]
, 2015 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas, Programa de Pós-Graduação em Matemática Pura e Aplicada, Florianópolis, 2015.Nesta dissertação foi trabalhado o clássico exemplo de problema mal ...
Souza, Mario Luiz Previatti de
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First Results of Atmospheric Composition Retrieval using IASI-METOP and AIRS-AQUA Data [PDF]
, 2009 Regularization methods for the inversion of infrared nadir sounding observations are currently investigated. An iterative Runge-Kutta type method for nonlinear ill-posed problems has been implemented and its performance has been studied using synthetic ...
Doicu, Adrian +5 more
core
Preconditioned iterative regularization for Ill-posed problems
, 1992 Hanke, Martin; Nagy, James; Plemmons, Robert. (1992). Preconditioned iterative regularization for Ill-posed problems.
Hanke, Martin +2 more
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Noise Models for Ill-Posed Problems
, 2014 The standard view of noise in ill-posed problems is that it is either deterministic and small (strongly bounded noise) or random and large (not necessarily small).
Vincent LaRiccia +5 more
core +1 more source
Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]
During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai +3 more
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, 2006 This thesis is a contribution to the field of ill-posed inverse problems . During the last ten years a new development in this field has taken place: Besides operator-adapted methods for the solution of inverse problems also methods adjusted to ...
Klann, Esther
core
Fractional regularization matrices for linear discrete ill-posed problems [PDF]
, 2013 The numerical solution of linear discrete ill-posed problems typically requires regularization. Two of the most popular regularization methods are due to Tikhonov and Lavrentiev. These methods require the choice of a regularization matrix. Common choices
Noschese, S. +2 more
core +1 more source