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A turning bands method for simulating isotropic Gaussian random fields on the sphere
(Elsevier B.V., 2019)
We introduce a novel approach to simulate Gaussian random fields defined over spheres of ℝ3. Through continuation we embed the process on the sphere in a nonstationary random field of ℝ3 to use a turning bands method. We ...
Comparing sequential Gaussian and turning bands algorithms for cosimulating grades in multi-element deposits
(Elsevier, 2015)
Stochastic simulation is increasingly used to map the spatial variability in the grades of elements of interest and to assess the uncertainty in the mineral resources and ore reserves. The practical implementation requires ...
Combination of geostatistical simulation and fractal modeling for mineral resource classification
(Elsevier, 2015)
The separation, identification and assessment of high-grade ore zones fromlow-grade ones are extremely important
in mining of metalliferous deposits. A technique that provides reliable results for those purposes is thus ...
Rough turning of titanium alloy (6Al-4V)
(2012-12-01)
Metal machining is the complex process due the used cutting parameters. In metal cutting process, materials of workpiece differ widely in their ability to deform plastically, to fracture and to sustain tensile stresses. ...
Rough turning of titanium alloy (6Al-4V)
(2012-12-01)
Metal machining is the complex process due the used cutting parameters. In metal cutting process, materials of workpiece differ widely in their ability to deform plastically, to fracture and to sustain tensile stresses. ...
The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the d-sphere
(Springer, 2020)
Random fields on the sphere play a fundamental role in the natural sciences. This paper presents a simulation algorithm parenthetical to the spectral turning bands method used in Euclidean spaces, for simulating scalar- ...
A turning bands program for conditional co-simulation of cross-correlated gaussian random fields
(PERGAMON-ELSEVIER SCIENCE LTD, 2008)
On a continuous spectral algorithm for simulating non stationary Gaussian random fields
(Springer, 2018)
This paper presents an algorithm for simulating
Gaussian random fields with zero mean and non-stationary
covariance functions. The simulated field is obtained as a
weighted sum of cosine waves with random frequencies
and ...
On a continuous spectral algorithm for simulating non-stationary Gaussian random fields
(Springer New York LLC, 2018)
This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-stationary covariance functions. The simulated field is obtained as a weighted sum of cosine waves with random frequencies and ...