Open in MATLAB Online Good morning I try to import values from a file, matlab makes a table file from it. Now I want to use the table values as doubles, such that I can work with it numerically. I tried ThemeCopy A = table2array(Displacment_u1_u2) But then I finish up with Them...
I have a vector of dates: a = Oct_2014 Nov_2014 Dec_2014 and I want to use the array2table function to make a table with these dates as the column headers: array2table([10 12 14],'VariableNames',a). It will work if a = {'Oct_2014' 'Nov_2014' 'Dec_2014'} but ...
Calculate the Frobenius norm of a 4-D arrayX, which is equivalent to the 2-norm of the column vectorX(:). X = rand(3,4,4,3); n = norm(X,"fro") n = 7.1247 The Frobenius norm is also useful for sparse matrices becausenorm(X,2)does not support sparseX. ...
y-coordinates, specified as a matrix the same size as Z or as a vector with length m, where [m,n] = size(Z). If you do not specify values for X and Y, mesh uses the vectors (1:n) and (1:m). You can use the meshgrid function to create the X and Y matrices. The YData...
iscolumn | Determine if input is column vector | | iscom | Determine if input is Component Object Model (COM) object | | isConfigured | Determine if dictionary is configured | | isdatetime | Determine if input isdatetimearray | |
dst – output vector. Its size and type is defined by dim and dtype parameters. dim – dimension index along which the matrix is reduced. 0 means that the matrix is reduced to a single row. 1 means that the matrix is reduced to a single column. ...
Your function has to return a table T whose first column formed by the entries of the vector n. Columns 2 – 4 are the column vectors c,d,f of the Riemann sums approximations of the integral of the function on the interval [a, b] by using the left endpoints (to calculate a vector...
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20、torsgeneratedfromatcopulawithlinearcorrelationparametersrhoanddegreesoffreedomNU.Ifrhoisap-by-pcorrelationmatrix,Uisann-by-pmatrix.Ifrhoisascalarcorrelationcoefficient,copularndgeneratesUfromabivariatetcopula.EachcolumnofUisasamplefromaUniform(0,1)marginaldistribution.U=copularnd(family,alpha,N)retu 21、rn...
The data used to train the SVM classifier are HOG feature vectors extracted from the training images. Therefore, it is important to make sure the HOG feature vector encodes the right amount of information about the object. The extractHOGFeatures function returns a visualization output that can hel...