Create Hessian for fmincon from a large number of constraints

Is there a way to create a Hessian with a variable number of constraint equations?

gradc = jacobian(c,x).';

hessc1 = jacobian(gradc(:,1))
hessc2 = jacobian(gradc(:,2))
hessc3 = jacobian(gradc(:,3))
hessc4 = jacobian(gradc(:,4))

hessch1 = matlabFunction(hessc1)
hessch2 = matlabFunction(hessc2)
hessch3 = matlabFunction(hessc3)
hessch4 = matlabFunction(hessc4)

myhess = @(x,lambda)(hessfh(x) + ...
   lambda.ineqnonlin(1)*hessc1h(x) + ...
   lambda.ineqnonlin(2)*hessc2h(x) + ...
   lambda.ineqnonlin(3)*hessc3h(x) + ...
   lambda.ineqnonlin(4)*hessc4h(x));

Above works for a fixed number of constraints. But, I can't figure out if it is possible to create the myhess handle with a variable number of constraints.

I tried the below code which I used a string to create the code that would create the myhess handle and converted it into a function handle, but I don't think fmincon with take the myhess handle because I had to include an extra input @(x,lambda,hessch)

gradc = jacobian(c,x).';

hessc = [];
for i=1:size(c,2)
    hessc = [hessc;{jacobian(gradc(:,i) ,x);}];
end

hessch = [];
for i=1:size(c,2)
    hessch = [hessch;{matlabFunction(hessc{i}, 'vars',{x})}];
end

myhess = '@(x,lambda,hessch)(hessfh(x)+';
for i=1:length(hessch)
    myhess = [myhess,'lambda.ineqnonlin(',num2str(i),')*hessch{',num2str(i),'}(x)+'];
end

myhess(end)=')';
myhess = str2func(myhess)

I am not very familiar with the syntax of creating function handles and any help would be greatly appreciated.