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|---|---|---|
 Date: 2013-08-30 19:12:48Applied mathematics Computational science Industrial design Partial differential equations Mathematical optimization Injection molding Computer simulation Model predictive control Kriging Operations research Numerical analysis Science |
| Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for prediDocID: 1sJDW - View Document |
| Tenke-Fungurume Dynamic unfolding-complex geology case study of Tenke-Fungurume deposits by Justin Cardwell and Alyson CartwrightDocID: 1roOC - View Document |
| OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS .DocID: 1rica - View Document |
| Reservoir Modeling with GSLIB Introduction to GSLIB • •DocID: 1rgx6 - View Document |
| CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422DocID: 1rftp - View Document |