#include <incremental_gaussian.h>
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int | D = 0 |
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Eigen::VectorXd | dX = Eigen::VectorXd(0) |
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Eigen::MatrixXd | S = Eigen::MatrixXd(0, 0) |
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Eigen::VectorXd | T = Eigen::VectorXd(0) |
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double | W = 0 |
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Definition at line 41 of file incremental_gaussian.h.
exotica::SinglePassMeanCovariance::SinglePassMeanCovariance |
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default |
exotica::SinglePassMeanCovariance::SinglePassMeanCovariance |
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int |
D_ | ) |
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void exotica::SinglePassMeanCovariance::add |
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const Eigen::Ref< const Eigen::VectorXd > & |
x | ) |
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inline |
void exotica::SinglePassMeanCovariance::add |
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double & |
W_, |
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const Eigen::Ref< const Eigen::VectorXd > & |
T_, |
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const Eigen::Ref< const Eigen::VectorXd > & |
S_ |
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inline |
void exotica::SinglePassMeanCovariance::addw |
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double |
w, |
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const Eigen::Ref< const Eigen::VectorXd > & |
x |
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) |
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void exotica::SinglePassMeanCovariance::clear |
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void |
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inline |
void exotica::SinglePassMeanCovariance::cov |
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Eigen::MatrixXd & |
sig | ) |
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void exotica::SinglePassMeanCovariance::covp |
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Eigen::MatrixXd & |
sig | ) |
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void exotica::SinglePassMeanCovariance::mean |
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Eigen::VectorXd & |
mu | ) |
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void exotica::SinglePassMeanCovariance::resize |
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int |
D_ | ) |
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int exotica::SinglePassMeanCovariance::D = 0 |
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Eigen::VectorXd exotica::SinglePassMeanCovariance::dX = Eigen::VectorXd(0) |
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Eigen::MatrixXd exotica::SinglePassMeanCovariance::S = Eigen::MatrixXd(0, 0) |
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Eigen::VectorXd exotica::SinglePassMeanCovariance::T = Eigen::VectorXd(0) |
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double exotica::SinglePassMeanCovariance::W = 0 |
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The documentation for this class was generated from the following file: