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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.

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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.


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