This paper presents a method for positive definite constrained least-squares estimation of matrices. The approach is to transform the problem into an equivalent convex quadratic program with infinitely many linear constraints and solve the latter by generating and solving a sequence of ordinary convex quadratic programs. [References: 11]
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