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We describe an interior point algorithm for convex quadratic problem with a strict complementarity constraints. We show that under some assumptions the approach requires a total of number of iterations, where is the input size of the problem. The algorithm generates a sequence of problems, each of which is approximately solved by Newton’s method.
We describe an interior point algorithm for convex quadratic problem with a
strict complementarity constraints. We show that under some assumptions the
approach requires a total of number of iterations, where
is the input size of the problem. The algorithm generates a sequence of problems, each of which is
approximately solved by Newton's method.
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