We are concerned here with the analysis and partition of uncertainty into component pieces, for a model prediction problem for flow in porous media.
uncertainty; solution error; porous media
Authorship
James Glimm
State University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United StatesState University of New YorkUnited StatesStony Brook, , United StatesState University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United States
Shuling Hou
Los Alamos National Laboratory, Theoretical Division , Los Alamos, NMLos Alamos National LaboratoryLos Alamos, NMLos Alamos National Laboratory, Theoretical Division , Los Alamos, NM
Yoon-Ha Lee
State University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United StatesState University of New YorkUnited StatesStony Brook, , United StatesState University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United States
David H. Sharp
Theoretical Division Los Alamos National Laboratory, Applied Physics Division , Los Alamos, NMTheoretical Division Los Alamos National LaboratoryLos Alamos, NMTheoretical Division Los Alamos National Laboratory, Applied Physics Division , Los Alamos, NM
Kenny Ye
State University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United StatesState University of New YorkUnited StatesStony Brook, , United StatesState University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United States
SCIMAGO INSTITUTIONS RANKINGS
Los Alamos National Laboratory, Theoretical Division , Los Alamos, NMLos Alamos National LaboratoryLos Alamos, NMLos Alamos National Laboratory, Theoretical Division , Los Alamos, NM
Theoretical Division Los Alamos National Laboratory, Applied Physics Division , Los Alamos, NMTheoretical Division Los Alamos National LaboratoryLos Alamos, NMTheoretical Division Los Alamos National Laboratory, Applied Physics Division , Los Alamos, NM
State University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United StatesState University of New YorkUnited StatesStony Brook, , United StatesState University of New York, Department of Applied Mathematics and Statistics , Stony Brook, , United States
Sociedade Brasileira de Matemática Aplicada e Computacional
Sociedade Brasileira de Matemática Aplicada e Computacional - SBMAC, Rua Maestro João Seppe, nº. 900 , 16º. andar - Sala 163, 13561-120 São Carlos - SP Brasil, Tel./Fax: 55 16 3412-9752 -
São Carlos -
SP -
Brazil E-mail: sbmac@sbmac.org.br
Acompanhe os números deste periódico no seu leitor de RSS