minimum of $\frac{1}{2}x^TQx-c^Tx$ subject to $Ax=b$
How do you prove that an objective function is convex if all of the eigenvalues of Q are positive? I have been researching but cannot figure out this problem.
minimum of $\frac{1}{2}x^TQx-c^Tx$ subject to $Ax=b$
How do you prove that an objective function is convex if all of the eigenvalues of Q are positive? I have been researching but cannot figure out this problem.
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