The problem It seems like there is indeed a conflict with the order of elements in arrays: matlab arranges the elements from the first dimension to the last (like fortran), while caffe and hdf5 stores the arrays from last dimension to first: Suppose we have X of shape nxcxhxw then the “second element of X” … Read more
You don’t need anonymous functions for this. Your Matlab example is also not anonymous in the end, it has a name g. Fortran internal functions are of great use here (Fortran 2008 feature, but supported in gfortran and ifort, not supported in Solaris Studio): call minimum(g, x0, xopt) contains real function g(x) real, intent(in) :: … Read more
You can suppress the output using evalc, but this requires you to pass your expression in as a string. For instance if you were using: [A,B,C] = notMyFunction(d,e,f); You can use instead [T,A,B,C] = evalc(‘notMyFunction(d,e,f);’); And any output that would have gone to the console will now be buffered and stored in T.
The inaccuracy I mentioned is with the method INV, not MATLAB’s implementation of it. You should be using QR, LU, or other methods to solve systems of equations since these methods don’t typically require squaring the condition number of the system in question. Using inv typically requires an operation that loses accuracy by squaring the … Read more
This answer is more explanatory than trying to be concise and efficient. I think gnovice‘s solution is best in that regard. In case you are trying to understand how it works, keep reading… Now the problem with your code is that you are mapping locations from the input image to the output image, which is … Read more
The reason you have holes in your image is because you are computing the location in imagerot of each pixel in imagepad. You need to do the computation the other way around. That is, for each pixel in imagerot interpolate in imagepad. To do this, you just need to apply the inverse transform, which in … Read more
If you notice, there is a distinct pattern to the adjacency matrices you are creating. Specifically, they are symmetric and banded. You can take advantage of this fact to easily create your matrices using the diag function (or the spdiags function if you want to make a sparse matrix). Here is how you can create … Read more
For all the copy/pasters out there, here is similar code for Python using matplotlib: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D point = np.array([1, 2, 3]) normal = np.array([1, 1, 2]) # a plane is a*x+b*y+c*z+d=0 # [a,b,c] is the normal. Thus, we have to calculate # d and we’re … Read more
After some experimenting with guidance from this page mentioned in the question, it seems like starting with an empty C++ project the following settings in the project’s Property Pages are necessary and sufficient to build a working .mexw64 from Visual Studio 2010: Configuration properties -> General: Set Target Extension to .mexw64 Set Configuration Type to … Read more
1) Why does the x-axis (frequency) end at 500? How do I know that there aren’t more frequencies or are they just ignored? It ends at 500Hz because that is the Nyquist frequency of the signal when sampled at 1000Hz. Look at this line in the Mathworks example: f = Fs/2*linspace(0,1,NFFT/2+1); The frequency axis of … Read more