Results 41 to 50 of about 85,642,486 (133)
Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues
Advanced Science, Volume 13, Issue 58, 19 October 2026.Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali +2 more
wiley +1 more source
Ill-posed Problems and Instruments' Weakness [PDF]
Potscher (Econometrica, 2002) has pointed out that several estimation problems in econometrics are ill-posed. This paper further studies the nature of ill-posed problems in parametric models.
Grant Hillier, Giovanni Forchini
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Applied Research, Volume 5, Issue 5, October 2026.UniNS is a hybrid neuro‐symbolic framework that simulates nanoscale swarms in tumor microenvironments by coupling mesoscopic hydrodynamics with structure‐regularized causal discovery. It reduces biochemical prediction errors by 27.3% and dynamically prevents spurious correlations, offering a scalable, thermodynamically consistent testbed for precision ...
Xinyuan Chen +3 more
wiley +1 more source
Applied Research, Volume 5, Issue 5, October 2026.This study introduces a structurally cascaded physics‐informed graph neural network to model tumor microenvironments accurately. By enforcing a directional dependency from mechanical strain to biochemical secretion, the method eliminates unphysical artifacts and significantly improves predictive accuracy for precision healthcare applications.
Xinyuan Chen +2 more
wiley +1 more source
Complexity of linear ill-posed problems in Hilbert space [PDF]
, 2016 Information complexity of ill-posed problems may be seen as controversial. On the one hand side there were pessimistic results stating that the complexity is innite, while on the other hand side the theory of ill-posed problems is well developed.
Mathé, Peter, Pereverzev, Sergei V.
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Iterative Methods for Data Assimilation for Burgers's Equation
, 2006 In this paper we consider one-dimensional flow governed by Burgers' equation. We analyze two iterative methods for data assimilation problem for this equation. One of them so called adjoint optimization method, is based on minimization in L 2-norm.
Weinerfelt, Per, +2 more
core +1 more source
Well-Posedness of Measurement Error Models for Self-Reported Data [PDF]
It is widely admitted that the inverse problem of estimating the distribution of a latent variable X* from an observed sample of X, a contaminated measurement of X*, is ill-posed.
Yonghong An, Yingyao Hu
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Modified Minimal Error Method for Nonlinear Ill-Posed Problems
, 2017 An error estimate for the minimal error method for nonlinear ill-posed problems under general a Hölder-type source condition is not known. We consider a modified minimal error method for nonlinear ill-posed problems. Using a Hölder-type source condition,
M. Sabari, Santhosh George
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Convergence of Tikhonov regularization for constrained Ill-posed inverse problems [PDF]
, 1992 Projet IDENTIn this paper convergence and rate of convergence results for nonlinear constrained ill-posed inverse problems formulated as regularized least squares problems are ...
Chavent, Guy, Kunisch, K.
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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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