Man pages for rudazhang/gpc
Gaussian Process Covariance / PCA / SVD Prediction via Separable Transformation
| blockHadamard | Compute the Hadamard product of XtX and kronecker(S, 1_k... |
| defaultLength | Rule-of-thumb lengthscale of the SE kernel for GP-subspace |
| distvec | Distance vector from a point to a set of points |
| geometric_mean | Geometric mean |
| getKinv | Inverse of correlation matrix |
| gradSEmat | Gradient of the squared exponential kernel, matrix version |
| isMatrix | Indicator function of a matrix object |
| isPermutation | Whether a 'dgCMatrix' is a permutation. |
| J | Matrix of ones |
| kerSEmat | Squared exponential kernel |
| LagrangeInterp | A function factory for Lagrange interpolation. |
| listMatrix2Array | Collect a list of matrices into an array. |
| MultiquadricRBF | Hardy's multiquadrics, a radial basis function |
| normalize | Normalize a vector in Euclidean norm |
| PiecewiseLinearInterp | A function factory for piecewise linear interpolation. |
| safeNonNeg | Safely set negative (eigen-)values to zero. |
| ToleranceLevel | Readable tolerance level for 'optim()'. |
| vecnorm | Vector Euclidean norm |
