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 Mar24 accepted Will this iteration converge to the Left singular vector and right singular vector of Highest singular value? Mar24 comment zeros of $x^*Ax$, a quadratic form Yes, I do know you harish. We were neighbors in hostel as well :):). Mar24 comment zeros of $x^*Ax$, a quadratic form You are right. It is far from stating the answer. I thought the reverse transformation is obvious. I have now explicitly stated it. Mar24 revised zeros of $x^*Ax$, a quadratic form added 728 characters in body Mar23 answered zeros of $x^*Ax$, a quadratic form Mar12 revised Will this iteration converge to the Left singular vector and right singular vector of Highest singular value? added 23 characters in body Mar12 asked Will this iteration converge to the Left singular vector and right singular vector of Highest singular value? Mar7 answered What is the implication of Perron Frobenius Theorem? Mar6 reviewed Edit How to solve 5x=0.01^x Mar6 revised How to solve 5x=0.01^x formatting Mar6 comment Prove that the intersection of half-spaces is a half-space As pointed out in @JoeJohnson126 's comments, the example of the closed unit disk is a counter to what you want to prove. Please comment on that. Mar6 comment Show that the following matrix is positive definite. @AlgebraicPavel I suggest you write this as an answer Mar5 comment Prove $\min_{i}|\lambda_i| \leq |r_{jj}| \leq \max_{i}|\lambda_i|$ Nice Approach!! +1. Feb11 revised Relation between Positive definite matrix and strictly convex function added 9 characters in body Jan18 comment incremental approach to solve positive least square problem Your problem comes under the so-called quadratic programming with linear constraints. It is a well studied problem. Jan15 awarded Notable Question Jan7 comment find a matrix that satisfies $A^6= I$… is this a home-work question? Jan7 comment Which topics in maths should I know before I dive into programming for image processing? Not sure if this question is relevant here. However, a good course on optimization (linear & non-linear, in addition convex) would be a good one. Jan7 comment Is a family of commuting self adjoint operators simultaneously diagonalizable? Hint: Try proving they share the same eigenvectors. Now, use the fact they are both diagonalizable. Jan5 comment Questions about matrix rank, trace, and invertibility, did you try finding $\alpha$ and $\beta$?