%0 Journal Article %1 journals/gandc/MoSLYW19 %A Mo, Shaoxing %A Shi, Xiaoqing %A Lu, Dan %A Ye, Ming %A Wu, Jichun %D 2019 %J Comput. Geosci. %K dblp %P 69-77 %T An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling. %U http://dblp.uni-trier.de/db/journals/gandc/gandc125.html#MoSLYW19 %V 125

@article{journals/gandc/MoSLYW19, added-at = {2020-10-26T00:00:00.000+0100}, author = {Mo, Shaoxing and Shi, Xiaoqing and Lu, Dan and Ye, Ming and Wu, Jichun}, biburl = {https://www.bibsonomy.org/bibtex/28af2d15f206860bf9c0b168d0a7d026b/dblp}, ee = {https://www.wikidata.org/entity/Q69819822}, interhash = {3deb617d10ba8257858cee18b06f2831}, intrahash = {8af2d15f206860bf9c0b168d0a7d026b}, journal = {Comput. Geosci.}, keywords = {dblp}, pages = {69-77}, timestamp = {2020-10-27T12:20:35.000+0100}, title = {An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling.}, url = {http://dblp.uni-trier.de/db/journals/gandc/gandc125.html#MoSLYW19}, volume = 125, year = 2019 }