Results 71 to 80 of about 261 (91)

Machine Learning for Thermal Transport Prediction in Nanoporous Materials: Progress, Challenges, and Opportunities. [PDF]

Nanomaterials (Basel)
Ghasemi A, Barisik M.
europepmc   +1 more source

On Bayesian data assimilation for PDEs with ill-posed forward problems

Inverse Problems, 2022
Samuel Lanthaler, Siddhartha Mishra
exaly  

Carleman weight functions for a globally convergent numerical method for ill-posed Cauchy problems for some quasilinear PDEs

Nonlinear Analysis: Real World Applications, 2017
Michael V Klibanov, Nikolay Koshev
exaly  

Carleman estimates for the regularization of ill-posed Cauchy problems

Applied Numerical Mathematics, 2015
Michael V Klibanov
exaly  

Analysis of Discrete Ill-Posed Problems by Means of the L-Curve

SIAM Review, 1992
Per Christian Hansen
exaly  

REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems

Numerical Algorithms, 1994
Per Christian Hansen, Hansen Per Christian   +1 more
exaly  

5 Convexification for ill-posed Cauchy problems for quasi-linear PDEs

2021
exaly  

The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems

SIAM Journal of Scientific Computing, 1993
Per Christian Hansen
exaly  

Optimality for ill-posed problems under general source conditions

Numerical Functional Analysis and Optimization, 1998
Ulrich Tautenhahn
exaly  

4 The quasi-reversibility numerical method for ill-posed Cauchy problems for linear PDEs

2021
exaly