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ellipsoid_tree 0.1.0
Exact intersection tests for ellipsoids and friends
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Ellipsoid E(tau) = {x : (x - mu)^T Sigma^{-1} (x - mu) <= tau^2}. More...
#include <ellipsoid_tree/geometry.hpp>
Public Attributes | |
| Eigen::VectorXd | mu |
| Center (mean). | |
| Eigen::MatrixXd | Sigma |
| Symmetric positive-definite shape (covariance) matrix. | |
Ellipsoid E(tau) = {x : (x - mu)^T Sigma^{-1} (x - mu) <= tau^2}.
Sigma must be symmetric positive definite. The scale parameter tau is supplied at call time by every function that consumes an Ellipsoid; it is deliberately not stored here, so that a family of ellipsoids sharing a covariance structure can be queried at any confidence scale. Baking a scale in is always possible via Sigma <- tau^2 * Sigma.
| Eigen::VectorXd ellipsoid_tree::Ellipsoid::mu |
Center (mean).
| Eigen::MatrixXd ellipsoid_tree::Ellipsoid::Sigma |
Symmetric positive-definite shape (covariance) matrix.