We describe an interior point algorithm for convex quadratic problem with astrict complementarity constraints. We show that under some assumptions theapproach requires a total of $O(\sqrt{n}L)$ number of iterations, where Lis the input size of the problem. The algorithm generates a sequence of problems, each of which isapproximately solved by Newton's method.