octave

I have a nested struct which contains values and is defined as: mystruct.level1.a = 1; mystruct.level1.b = 2; mystruct.level2.a = 8; mystruct.level2.b = 9; I want to perform operations on the elements in level1 and level2. What I want to do is access the values in level1 and level2, put them in a vector, without referencing the nested field names. E.g. I'd like to do something like: level1_vector = [mystruct.level1] Which I would like to output: level1_vector = [1 2] How can I do that? Use the combination of two functions below: cell2mat(struct2cell(mystruct.level1)) There's a structfun to do

Im new to Octave and playing around with the console. why when comparing matrices, the expression is not evaluates as boolean : example: >> A=[1,2;3,4]; % creating 2x2 matrix >> 5 == 5 % sample comparison returns true (1) ans = 1 >> A(1,1) == A(1,1) % single element comparison returns true (1) ans = 1 >> A == A % returns 2x2 matrix ??? ans = 1 1 1 1 >> size(A == A) % prove that the above returns 2x2 matrix ans = 2 2 == is for element-wise comparison of two matrices. To check whether two matrices are same or not, use isequal . Sardar's answer is correct, but when it comes to computational time,

I am currently porting some code from Matlab to Octave. Some of the functions of the Matlab code use the Piotr's Computer Vision Matlab Toolbox ( here ) that includes some mex files. In Matlab, everything is working like a charm but when I run my codes with Octave, it throws this error: error: 'imResampleMex' undefined near line 50 column 5 However all the internal paths within the toolbox should be good. I figured out that the way Matlab and Octave handle mex files is different and tried to build one of the mex files from the C++ function within Octave like this: mkoctfile --mex imResampleMex

I need to implement the following logic: Given a set of 2d sample points (given as x-y-coordinate pairs) and a set of line segments (also x-y-coordinate pairs). Edit 1: How to calculate (vectorized) the distance of the points pi to the lines Li ? The points are approximately near the lines and I want to get the distance from each of the sample points to the nearest line segment. The may be points, which are a bit "off" (see p6 in the first picture) and these could be found by the following algorithm: Case: The sample points projection to the line segment is "left outside". In this case I need