Create a matrix containing NaN values. Get A = [2 NaN 6 -5; 0 3 NaN 9] A = 2×4 2 NaN 6 -5 0 3 NaN 9 Compute the minimum and maximum values of the matrix, including NaN values. For matrix columns that contain any NaN value, the minimum and maximum are NaN. Get [minA...
Create a matrix containing NaN values. Get A = [2 NaN 6 -5; 0 3 NaN 9] A = 2×4 2 NaN 6 -5 0 3 NaN 9 Compute the minimum and maximum values of the matrix, including NaN values. For matrix columns that contain any NaN value, the minimum and maximum are NaN. Get [minA...
I have a cell type variable(Final) with dimension 279*100. I want to create a new matrix of 279*1 dimension such that i can have only the maximum value of each row in the new matrix. Can anyone please help me do this? Thank You ...
Create a matrix containing NaN values. Get A = [1.77 -0.005 NaN -2.95; NaN 0.34 NaN 0.19] A = 2×4 1.7700 -0.0050 NaN -2.9500 NaN 0.3400 NaN 0.1900 Compute the maximum value of the matrix, including missing values. For matrix columns that contain any NaN value, the maximum is NaN...
Here is a general solution for matrices of decimal values arranged into any sequence. It uses MATLAB's rather powerful
In one file, write an entry-point functionmyAtomicMaxthat accepts matrix inputsaandb. functiona = myAtomicMax(a,b) coder.gpu.kernelfun;fori =1:numel(a) [a(i),~] = gpucoder.atomicMax(a(i), b);endend To create a type for a matrix of doubles for use in code generation, use ...
u = sin ( ( 1 : m ) * pi / m ); <-- (ROW vector) v = exp ( ( 1 : n ) * pi / n ); <-- (Row vector) a = u’ * v; <-- (Matrix, not scalar!) u a n d v a r e 1x M a n d 1x N r ow v e c t or s , s o t h a t u ’ * v i s a...
The same procedure is followed for minimum eigenvalue case. In the second study, we repeat the process for random matrices of order 5x5 and observe that the regression equation for predicting the maximum or minimum eigenvalue does not get affected by reducing the order of the matrix. The ...
represents the confidence of feature selection. For example, if the software is confident of selecting a featurex, then the score value of the next most important feature is much smaller than the score value ofx. You can use the outputs to find an optimal setSfor a given number of features...
vector|two-column matrix Sample data and censorship information, specified as a vector of sample data or a two-column matrix of sample data and censorship information. You can specify the censorship information for the sample data by using either thedataargument or theCensoringname-value argument....