Results 211 to 220 of about 6,225 (246)

Increments for (CO)Kriging with Trend and Pseudo-Covariance Estimation

1994
This paper presents an integrated account of the interpolation techniques of universal kriging and cokriging by way of the solution of a prediction problem in a situation akin to linear regression. Polynomial expectations of degree k in the coordinates of a region are eliminated by consideration of increments only, followed by the introduction of a ...
openaire   +1 more source

Fixed Rank co-Kriging: a model for multivariate spatial prediction

This work develops a multivariate extension of the Fixed Rank Kriging (FRK) framework for spatial prediction in settings where multiple spatial processes may provide complementary information. The goal is to preserve the computational efficiency, the ability to operate without assuming stationarity over the domain, and the spatial support flexibility ...
Caringi, Gaia, Secchi, Piercesare
openaire   +1 more source

Co-Kriged Estimates of Transmissivities Using Jointly Water Level Data

1989
The problem of estimating transmissivities in an aquifer from local measurements is generally approached from two different directions: (i) using only local measurements of transmissivities (e.g. from the interpretation of pumping tests), a first estimate of the transmissivity field is obtained by simple interpolation, using kriging for instance; (ii ...
S. Ahmed, G. de Marsily
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Stochastic co-kriging for steady-state simulation metamodeling

2017 Winter Simulation Conference (WSC), 2017
Xi Chen 0040, Sahar Hemmati, Feng Yang 0016   +2 more
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QUANTILE SIMULATION OPTIMIZATION WITH STOCHASTIC CO-KRIGING MODEL

2018 Winter Simulation Conference (WSC), 2018
Songhao Wang, Szu Hui Ng, William Benjamin Haskell   +2 more
openaire   +1 more source

Singular value decomposition as an equation solver in co-kriging matrices

2012
One of the most significant elements in solving the co-kriging equations is the matrix solver. In this paper, the singular value decomposition (SVD) as an equation solver is proposed to solve the co-kriging matrices. Given that other equation solvers have various drawbacks, the SVD presents an alternative for solving the co-kriging matrices. The SVD is
Kumral, M., Dowd, P.
openaire   +1 more source

Sensitivity Analysis and Optimal Design with PC-co-kriging

2022
Leifur Leifsson, Jethro Nagawkar
openaire   +1 more source

Rapid Estimation of the Aerodynamic Coefficients of a Missile via Co-Kriging

Journal of the Korean Society for Aeronautical & Space Sciences, 2020
Shinseong Kang, Kyunghoon Lee
openaire   +1 more source

A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning

IEEE Transactions on Evolutionary Computation, 2021
Dawei Zhan, Huanlai Xing
exaly  

Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method

Reliability Engineering and System Safety, 2022
Yongbo Peng
exaly