setting up a quadprog constraint problem

Hello Below is a simple problem, I have a set of weights and I want to minimize SSD based on the following constraints

0≤A11+A12 + A21+ A22 + A31+A32 ≤0.3

0≤B1≤0.8

A11+A12 =A21+A22 =A31+A32

A11+A12 + A21+ A22 + A31+A32 + B1=1

I want to minimize sum of squared difference to the original weight vector subject to the above constraints

how do I specify this in quadprog in MATLAB the constraints?

weights.data = [0.05 0.05 0.15 0.05 0.22 0.08 0.4]

weights.header = {'A11', 'A12', 'A21', 'A22', 'A31', 'A32', 'B1'}

w0 = weights.data

Constraints = [

    1 0 1
    1 0 1
    1 0 1
    1 0 1
    1 0 1
    1 0 1
    0 1 1

    ]

ub = [0.3 0.8 1]

lb = [0 0 1]

A0 = Constraints;

%%Inequality constraints A_le = [-A0, A0]';

b_le = [-lb, ub];

n = 7

[solution, fval, exitflag,output] = quadProg(eye(n), -w0', A_le,b_le,[],[],[],[],w0, options);

Thanks for your help!

[Matt J]

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