I have seen it done before but I cannot remember how to efficiently initialize an Eigen::Vector
of known length with a std::vector
of the same length. Here is a good example:
std::vector<double> v1 = {1.0, 2.0, 3.0};
Eigen::Vector3d v2; // Do I put it like this in here: v2(v1) ?
v2 << v1[0], v1[1], v1[2]; // I know you can do it like this but
// I am sure i have seen a one liner.
I have perused this page about advanced matrix initialization but there is not a clear explanation of the method to perform this action.
According to Eigen Doc, Vector is a typedef for Matrix, and the Matrix has a constructor with the following signature:
Matrix (const Scalar *data)
Constructs a fixed-sized matrix initialized with coefficients starting at data.
And vector reference defines the std::vector::data
as:
std::vector::data T* data(); const T* data() const;
Returns pointer to the underlying array serving as element storage. The pointer is such that range
[data(); data() + size())
is always a valid range, even if the container is empty.
So, you could just pass the vector's data as a Vector3d
constructor parameter:
Eigen::Vector3d v2(v1.data());
Also, as of Eigen 3.2.8, the constructor mentioned above defined as:
template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
inline Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>
::Matrix(const Scalar *data)
{
this->_set_noalias(Eigen::Map<const Matrix>(data));
}
As you can see, it also uses Eigen::Map
, as noted by @ggael and @gongzhitaao.