One or more of the residuals, duality gap, or total relative error has grown 100000 times greater than its minimum value

Hi All. Could any one tell me how to solve this problem (Exiting: One or more of the residuals, duality gap, or total relative error has grown 100000 times greater than its minimum value so far: the primal appears to be infeasible (and the dual unbounded). (The dual residual < TolFun=1.00e-008.)) the optimization part of the code is: function [variables, solution] = solve(B, N, padN, fD, fL, tied, objP); bigNumber = 1000; warning off MATLAB:divideByZero; [padB padFL padTied] = deal(sparse(size(B, 1), size(N, 2)), sparse(1, size(N, 2)), sparse(size(tied, 1), size(N, 2))); equalityMatrix = [B padB; padN N; fL padFL; tied padTied]; equalityRHS = sparse(size(equalityMatrix, 1), 1); equalityRHS(size(B, 1) + size(N, 1) + 1, 1) = 1; obj = [fD; objP']; % objP' contains plastic multiplier terms lowerB = [-bigNumber * ones(size(B, 2), 1); sparse(size(N, 2), 1)]; upperB = [bigNumber * ones(size(B, 2), 1); bigNumber * ones(size(N, 2), 1)]; [variables, solution] = linprog(obj, [], [], equalityMatrix, equalityRHS, lowerB, upperB);

when I change the dimension of the problem from dlo2(9, 6, 0, 0, 2, 5, 36) to dlo2(1, 1, 0, 0, 2, 5, 36) the above error appears

Could any one suggest me what this error mean or how to fix it?

I look forward to hearing from you Regards Bestun