本文整理匯總了C++中eigen::VectorXd::LinSpaced方法的典型用法代碼示例。如果您正苦於以下問題：C++ VectorXd::LinSpaced方法的具體用法？C++ VectorXd::LinSpaced怎麽用？C++ VectorXd::LinSpaced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::LinSpaced方法的1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: simulatetopographyGrid
/**
* Generates an artificial topographyGrid of size numRows x numCols if no
* topographic data is available. Results are dumped into topographyGrid.
* @param topographyGrid A pointer to a zero-initialized Grid of size
* numRows x numCols.
* @param numRows The desired number of non-border rows in the resulting matrix.
* @param numCols The desired number of non-border cols in the resulting matrix.
*/
void simulatetopographyGrid(Grid* topographyGrid, int numRows, int numCols) {
Eigen::VectorXd refx = refx.LinSpaced(numCols, -2*M_PI, 2*M_PI);
Eigen::VectorXd refy = refx.LinSpaced(numRows, -2*M_PI, 2*M_PI);
Eigen::MatrixXd X = refx.replicate(1, numRows);
X.transposeInPlace();
Eigen::MatrixXd Y = refy.replicate(1, numCols);
// Eigen can only deal with two matrices at a time,
// so split the computation:
// topographyGrid = sin(X) * sin(Y) * abs(X) * abs(Y) -pi
Eigen::MatrixXd absXY = X.cwiseAbs().cwiseProduct(Y.cwiseAbs());
Eigen::MatrixXd sins = X.array().sin().cwiseProduct(Y.array().sin());
Eigen::MatrixXd temp;
temp.resize(numRows, numCols);
temp = absXY.cwiseProduct(sins);
// All this work to create a matrix of pi...
Eigen::MatrixXd pi;
pi.resize(numRows, numCols);
pi.setConstant(M_PI);
temp = temp - pi;
// And the final result.
topographyGrid->data.block(border, border, numRows, numCols) =
temp.block(0, 0, numRows, numCols);
// Ignore positive values.
topographyGrid->data =
topographyGrid->data.unaryExpr(std::ptr_fun(validateDepth));
topographyGrid->clearNA();
}