Direct Multivariate Simulation - A stepwise conditional transformation for multivariate geostatistical simulation

2021 ◽  
Vol 147 ◽  
pp. 104659
Author(s):  
Leandro P. de Figueiredo ◽  
Tcharlies Schmitz ◽  
Rafael Lunelli ◽  
Mauro Roisenberg ◽  
Daniel Santana de Freitas ◽  
...  
Keyword(s):  
Geostatistical Simulation ◽  
Multivariate Simulation ◽  
Conditional Transformation ◽  
Stepwise Conditional Transformation

Incorporation of spatial variability in modeling non-point source groundwater nitrate pollution

1996 ◽  
Vol 33 (4-5) ◽  
pp. 233-240 ◽  
Author(s):  
F. S. Goderya ◽  
M. F. Dahab ◽  
W. E. Woldt ◽  
I. Bogardi
Keyword(s):  
Spatial Variability ◽  
Point Source ◽  
Three Dimensional ◽  
Nitrate Contamination ◽  
Geostatistical Simulation ◽  
Chemical Measurements ◽  
Spatially Distributed ◽  
Potential Benefits ◽  
Zone Modeling ◽  
Physical And Chemical

A methodology for incorporation of spatial variability in modeling non-point source groundwater nitrate contamination is presented. The methodology combines geostatistical simulation and unsaturated zone modeling for estimating the amount of nitrate loading to groundwater. Three dimensional soil nitrogen variability and 2-dimensional crop yield variability are used in quantifying potential benefits of spatially distributed nitrogen input. This technique, in combination with physical and chemical measurements, is utilized as a means of illustrating how the spatial statistical properties of nitrate leaching can be obtained for different scenarios of fixed and variable rate nitrogen applications.

Multivariate geostatistical simulation with PPMT: an application for uncertainty measurement

2021 ◽  
pp. 1-11
Author(s):  
Paulo Henrique Faria ◽  
João Felipe Coimbra Leite Costa ◽  
Marcel Antônio Arcari Bassani
Keyword(s):  
Geostatistical Simulation ◽  
Uncertainty Measurement

Quantum algorithm for measuring the energy of n qubits with unknown pair-interactions

2002 ◽  
Vol 2 (3) ◽  
pp. 198-207
Author(s):  
D. Janzing
Keyword(s):  
Quantum State ◽  
Quantum Computer ◽  
Quantum Algorithm ◽  
Pair Interaction ◽  
Phase Estimation ◽  
Solid States ◽  
Energy Gaps ◽  
Large N ◽  
Conditional Transformation ◽  
Essential Assumption

The well-known algorithm for quantum phase estimation requires that the considered unitary is available as a conditional transformation depending on the quantum state of an ancilla register. We present an algorithm converting an unknown n-qubit pair-interaction Hamiltonian into a conditional one such that standard phase estimation can be applied to measure the energy. Our essential assumption is that the considered system can be brought into interaction with a quantum computer. For large n the algorithm could still be applicable for estimating the density of energy states and might therefore be useful for finding energy gaps in solid states.

Sign in / Sign up

Export Citation Format

Share Document