The objectives of this research remain as stated in our proposal of November 1997. We report on progress in the quantification of uncertainty and prediction, with applications to flow in porous media and to shock wave physics. The main strength of this work is an innovative theory for the quantification of uncertainty based on models for solution errors in numerical simulations. We also emphasize a deep connection to application communities, including those in DOE Laboratories
This book presents applications of spectral methods to problems of uncertainty propagation and quant...
In this thesis we consider two great challenges in computer simulations of partial differential equa...
The aim of the workshop was to identify promising research directions concerning statistical issues,...
To accurately predict the performance of physical systems, it becomes essential for one to include t...
Mathematical models of engineering systems and physical processes typically take the form of a parti...
The objectives of this project were: (1) Develop a general algorithmic framework for stochastic ordi...
This book is based on research that, to a large extent, started around 1990, when a research project...
We are concerned here with the analysis and partition of uncertainty into component pieces, for a mo...
In the last few decades, enormous progress has been made in the field of Computational Fluid Dynamic...
At the interface of physics, mathematics, and computer science, Uncertainty Quanti cation (UQ) aims ...
A direct method is presented for determining the uncertainty in reservoir pressure, flow, and net pr...
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
In this paper, we study multiscale finite element methods for stochastic porous media flow equations...
In this paper, we present a formal quantification of uncertainty induced by numerical solutions of o...
In this paper, we present a formal quantification of uncertainty induced by numerical solutions of o...
This book presents applications of spectral methods to problems of uncertainty propagation and quant...
In this thesis we consider two great challenges in computer simulations of partial differential equa...
The aim of the workshop was to identify promising research directions concerning statistical issues,...
To accurately predict the performance of physical systems, it becomes essential for one to include t...
Mathematical models of engineering systems and physical processes typically take the form of a parti...
The objectives of this project were: (1) Develop a general algorithmic framework for stochastic ordi...
This book is based on research that, to a large extent, started around 1990, when a research project...
We are concerned here with the analysis and partition of uncertainty into component pieces, for a mo...
In the last few decades, enormous progress has been made in the field of Computational Fluid Dynamic...
At the interface of physics, mathematics, and computer science, Uncertainty Quanti cation (UQ) aims ...
A direct method is presented for determining the uncertainty in reservoir pressure, flow, and net pr...
This book presents the fundamental notions and advanced mathematical tools in the stochastic modelin...
In this paper, we study multiscale finite element methods for stochastic porous media flow equations...
In this paper, we present a formal quantification of uncertainty induced by numerical solutions of o...
In this paper, we present a formal quantification of uncertainty induced by numerical solutions of o...
This book presents applications of spectral methods to problems of uncertainty propagation and quant...
In this thesis we consider two great challenges in computer simulations of partial differential equa...
The aim of the workshop was to identify promising research directions concerning statistical issues,...