Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90616/1/AIAA-2011-824-287.pd
In this paper we establish a mathematical framework for a range of inverse problems for functions, g...
Owing to the increasing availability of computational resources, in recent years the probabilistic s...
We present a model reduction approach to the solution of large-scale statistical inverse problems in...
Initial condition inverse problems are ill-posed and computationally expensive to solve. We present ...
This work presents an approach to solve inverse problems in the application of water quality managem...
Over the last a few decades, a spectrum of methods for the solution of inverse problems has been exa...
Local behaviour in a continuous system with spatially or temporally variable parameters is often des...
The global space-time MQ collocation method is presented to formulate an inverse problem for the inv...
AbstractThis paper investigates a nonlinear inverse problem associated with the heat conduction prob...
A Bayesian inference approach is presented for the solution of the inverse heat conduction problem. ...
In many inverse problems, model parameters cannot be precisely determined from observational data. B...
We consider the inverse problem of estimating the initial condition of a partial differential equati...
A wide range of important problems in civil engineering can be classified as inverse problems. In su...
We are interested in a DDDAS problem of localization of airborne contaminant releases in regional at...
This paper develops meshless methods for probabilistically describing discretisation error in the nu...
In this paper we establish a mathematical framework for a range of inverse problems for functions, g...
Owing to the increasing availability of computational resources, in recent years the probabilistic s...
We present a model reduction approach to the solution of large-scale statistical inverse problems in...
Initial condition inverse problems are ill-posed and computationally expensive to solve. We present ...
This work presents an approach to solve inverse problems in the application of water quality managem...
Over the last a few decades, a spectrum of methods for the solution of inverse problems has been exa...
Local behaviour in a continuous system with spatially or temporally variable parameters is often des...
The global space-time MQ collocation method is presented to formulate an inverse problem for the inv...
AbstractThis paper investigates a nonlinear inverse problem associated with the heat conduction prob...
A Bayesian inference approach is presented for the solution of the inverse heat conduction problem. ...
In many inverse problems, model parameters cannot be precisely determined from observational data. B...
We consider the inverse problem of estimating the initial condition of a partial differential equati...
A wide range of important problems in civil engineering can be classified as inverse problems. In su...
We are interested in a DDDAS problem of localization of airborne contaminant releases in regional at...
This paper develops meshless methods for probabilistically describing discretisation error in the nu...
In this paper we establish a mathematical framework for a range of inverse problems for functions, g...
Owing to the increasing availability of computational resources, in recent years the probabilistic s...
We present a model reduction approach to the solution of large-scale statistical inverse problems in...
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