#include <incremental_gaussian.h>
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int | D = 0 |
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double | W = 0 |
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Eigen::VectorXd | T = Eigen::VectorXd(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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◆ SinglePassMeanCovariance() [1/2]
exotica::SinglePassMeanCovariance::SinglePassMeanCovariance |
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default |
◆ SinglePassMeanCovariance() [2/2]
exotica::SinglePassMeanCovariance::SinglePassMeanCovariance |
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int |
D_ | ) |
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inline |
◆ add() [1/3]
void exotica::SinglePassMeanCovariance::add |
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const Eigen::Ref< const Eigen::VectorXd > & |
x | ) |
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inline |
◆ add() [2/3]
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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) |
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inline |
◆ add() [3/3]
◆ addw()
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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inline |
◆ clear()
void exotica::SinglePassMeanCovariance::clear |
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◆ cov()
void exotica::SinglePassMeanCovariance::cov |
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Eigen::MatrixXd & |
sig | ) |
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◆ covp()
void exotica::SinglePassMeanCovariance::covp |
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Eigen::MatrixXd & |
sig | ) |
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◆ mean()
void exotica::SinglePassMeanCovariance::mean |
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Eigen::VectorXd & |
mu | ) |
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◆ resize()
void exotica::SinglePassMeanCovariance::resize |
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int |
D_ | ) |
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int exotica::SinglePassMeanCovariance::D = 0 |
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private |
◆ dX
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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private |
Eigen::VectorXd exotica::SinglePassMeanCovariance::T = Eigen::VectorXd(0) |
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private |
double exotica::SinglePassMeanCovariance::W = 0 |
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private |
The documentation for this class was generated from the following file: