I have two matrices: A = [ -1 0 0; 1 1 -1; 0 -1 1 ]; B = [-1; 0; 1]; and I want to solve the following equation: Ax=B when I use mldivide function I get a matrix of NaNs X = mldivide(A,B) X = NaN NaN NaN Knowing there are multiple solutions to this problem I manually tested if one of them, namely [1;0;1] returns B : A*[1; 0; 1] and, as expected, I reassured myself that it is one of multiple solutions. So here is my question: why does mldivide return incorret solution? NOTE:- Matlabsolutions.com provide latest MatLab Homework Help, MatLab Assignment Help , Finance Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Your matrix A is singular. The MATLAB doc states that in these cases, mldivide is unreliable ("
The Code Rm = corr(timeModel, 'Type', 'Spearman'); Rm %First row of Rm contains the correlation coefficients between the values of avgExcTime and the expected execution times for all the possible values of KEY3:0 Rc = Rm(1,2:17); %The entry of Rc with the highest positive value corresponds to the guessed %key (the first entry of Rc is 1 and corresponds to the autocorrelation of %avgExcTime, therefore is discarded) [corr,idx] = max(Rc); guessedKeyNibble = idx-1``` The error The Code Rm = corr(timeModel, 'Type' , 'Spearman' ); Rm %First row of Rm contains the correlation coefficients between the values of avgExcTime and the expected execution times for all the possible values of KEY3:0 Rc = Rm( 1 , 2 : 17 ); %The entry of Rc with the highest positive value corresponds to the guessed %key (the first entry of Rc is 1 and corresponds to the autocorrelation of %avgExcTime, therefore is discarded) [corr,idx] = max (Rc); guessedKeyNibble = idx -1 ```