本文整理匯總了C++中eigen::VectorXd::cwiseQuotient方法的典型用法代碼示例。如果您正苦於以下問題：C++ VectorXd::cwiseQuotient方法的具體用法？C++ VectorXd::cwiseQuotient怎麽用？C++ VectorXd::cwiseQuotient使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類eigen::VectorXd的用法示例。
在下文中一共展示了VectorXd::cwiseQuotient方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的C++代碼示例。
示例1: EvalGaussianLogp
double cMathUtil::EvalGaussianLogp(const Eigen::VectorXd& mean, const Eigen::VectorXd& covar, const Eigen::VectorXd& sample)
{
int data_size = static_cast<int>(covar.size());
Eigen::VectorXd diff = sample - mean;
double logp = -0.5 * diff.dot(diff.cwiseQuotient(covar));
double det = covar.prod();
logp += -0.5 * (data_size * std::log(2 * M_PI) + std::log(det));
return logp;
}示例2: EvalGaussian
double cMathUtil::EvalGaussian(const Eigen::VectorXd& mean, const Eigen::VectorXd& covar, const Eigen::VectorXd& sample)
{
assert(mean.size() == covar.size());
assert(sample.size() == covar.size());
Eigen::VectorXd diff = sample - mean;
double exp_val = diff.dot(diff.cwiseQuotient(covar));
double likelihood = std::exp(-0.5 * exp_val);
double partition = CalcGaussianPartition(covar);
likelihood /= partition;
return likelihood;
}