7 янв. 2023 г. · The two gives completely different results. Moreover, a matrix multiplication runs in O(n**3) time while an element-wise multiplication runs in O(n**2) time.

29 июл. 2020 г. · I have some C++ code that generates and manipulates arrays of Eigen matrices. In the end I want to use those matrices in python and thought this might be a job ...

22 мар. 2013 г. · I'm doing some calculations in C++ with help of Eigen Library, the function is like this: MatrixXd Cov(MatrixXd Data) { VectorXd meanVector; ... return ...

6 авг. 2020 г. · I'm trying to figure out the best way to pass matrices between Python and C++. I'm using Python's NumPy and C++'s Eigen library, and I'm using PyBind11 to get ...

25 окт. 2018 г. · The solution is to define a function that accepts an Eigen::Ref: void manipulate(Eigen::Ref<Eigen::MatrixXd> data) { data = data*2; }

13 сент. 2019 г. · I'm using pybind11 to create a Python binding for my C++ library that uses Eigen types. However, when I try to bind a struct that contains an Eigen::Matrix,

19 дек. 2019 г. · I want to find a function in Eigen Library with the same function, instead of Python Numpy Library. The result x is right using Python Numpy linalg.solve().

2 авг. 2018 г. · I'm observing eigen being more than ten times faster than numpy, with -Ofast -march=native flags. (55 vs 700 ms per iteration)

4 нояб. 2022 г. · Eigen uses column-major order (Fortran order). Numpy commonly uses row-major order (C-order). So accessing individual singular vectors in numpy is more ...

27 янв. 2020 г. · I believe the Eigen return type is not appreciated by Python. Could someone help me what the issue could be? How should I help Python ...