W_kappa_ij_up: Covariance of kernel computations
In activegp: Gaussian Process Based Design and Analysis for the Active Subspace Method
W_kappa_ij_up R Documentation
Covariance of kernel computations
Description
Computes Int(kappa_i(X, design) . kappa_j(design, X)). This function is preferred for updates
Usage
W_kappa_ij_up(W, design, theta, i1, i2, start, ct)
Arguments
W
The matrix to store the computation in
design
matrix of design points
theta
lengthscales
i1, i2
index of the derivatives (WARNING: starts at 0)
start
The column/row index at which to start the computation (doesn't touch the start by start submatrix).
ct
Covariance type, 1 means Gaussian, 2 means Matern 3/2, 3 means Matern 5/2
Value
W is modified in-place.
activegp documentation built on May 29, 2024, 9:22 a.m.
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| W_kappa_ij_up | R Documentation |
Covariance of kernel computations
Description
Computes Int(kappa_i(X, design) . kappa_j(design, X)). This function is preferred for updates
Usage
W_kappa_ij_up(W, design, theta, i1, i2, start, ct)
Arguments
W |
The matrix to store the computation in |
design |
matrix of design points |
theta |
lengthscales |
i1, i2 |
index of the derivatives (WARNING: starts at 0) |
start |
The column/row index at which to start the computation (doesn't touch the start by start submatrix). |
ct |
Covariance type, 1 means Gaussian, 2 means Matern 3/2, 3 means Matern 5/2 |
Value
W is modified in-place.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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