[英]Copy an Eigen vector to a C array?
How do I copy an Eigen vector mesh
to a C array r
? 如何将本征向量
mesh
复制到C数组r
?
double *r;
typedef Eigen::VectorXd RealVector;
Eigen::Map<RealVector>(r, 1, mesh.cols()) = mesh;
gives an assert from Eigen 从本征给出断言
DenseBase::resize() does not actually allow to resize.
The same message comes from either 相同的消息来自任何一个
Eigen::Map<RealVector>(r, mesh.cols()) = mesh;
or 要么
Eigen::Map<RealVector>(r, mesh.cols(), 1) = mesh;
I need the values to be copied, not just mapped. 我需要复制值,而不仅仅是映射。
Since you did not clarify, I'm speculating three possible errors you could have made: 由于您没有弄清楚,所以我推测您可能已经犯了三个可能的错误:
Either your mesh
is actually a VectorXd
, but then it will always have exactly one column, but potentially multiple rows, ie, you need to write: 您的
mesh
VectorXd
实际上是一个VectorXd
,但是它总是只有一列,但可能有多行,即,您需要编写:
Eigen::VectorXd::Map(r, mesh.rows()) = mesh;
Or your mesh
is a RowVectorXd
(ie, having one row and multiple columns). 或者您的
mesh
是RowVectorXd
(即具有一行和多列)。 Then you need to write: 然后,您需要编写:
Eigen::RowVectorXd::Map(r, mesh.cols()) = mesh;
If mesh
actually is a matrix, you need to decide how to map it to linear memory (ie row-major or column-major). 如果
mesh
实际上是一个矩阵,则需要决定如何将其映射到线性内存(即行占主导或列占主导)。 This is also possible with Map
: 使用
Map
也可以:
Eigen::MatrixXd::Map(r, mesh.rows(), mesh.cols()) = mesh;
You don't have to copy anything actually. 您实际上不必复制任何内容。 You can access the raw data using the
.data()
member function. 您可以使用
.data()
成员函数访问原始数据。
#include <Eigen/Core>
int main()
{
Eigen::VectorXd mesh = Eigen::VectorXd::Random(10);
double * r = mesh.data();
r[5] = 0; // writes to mesh directly
assert(mesh(5) == 0);
}
If you want to copy the data to the pointer, you have to allocate memory, perform the copy and deallocate after use. 如果要将数据复制到指针,则必须分配内存,执行复制并在使用后取消分配。
#include <algorithm>
#include <Eigen/Core>
int main()
{
Eigen::VectorXd mesh = Eigen::VectorXd::Random(10);
double * r = new double[mesh.size()];
std::copy(mesh.data(), mesh.data() + mesh.size(), r);
assert(r[5] == mesh(5));
delete[] r;
}
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