I'm focusing on the special case where A is a n x d matrix (where k < d) representing an orthogonal basis for a subspace of R^d and b is known to be inside t
Is there a fast way in numpy to add a vector to every row or column of a matrix. Lately, I have been tiling the vector to the size of the matrix, which can use
I have a NumPy ndarray to which I would like to add row/column headers. The data is actually 7x12x12, but I can represent it like this: A=[[[0, 1, 2, 3, 4, 5]
I'm pretty new to programming in R. I have a matrix of numbers mat, as well as a list of matrices matlist. I want to check if the matrix mat matches with (i.e
I have multiple estimates for a transformation matrix, from mapping two point clouds to each other via ICP (Iterative Closest Point). How can I generate the av
Does Python or any of its modules have an equivalent of MATLAB's conv2 function? More specifically, I'm interested in something that does the same computation a
I am solving a larger problem and at one step I need to rotate a 2D array counter-clockwise. So if I have this matrix: 1 2 3 4 1 2 3 4 3 4 5 6 3 4 5 6 After
I've got coordinates of 4 points in 2D that form a rectangle and their coordinates after a perspective transformation has been applied. The perspective trans