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We present two strategies for warmstarting primal-dual interior point methods for the homogeneous self-dual model when applied to mixed linear and quadratic conic optimization problems. Common to both strategies is their use of only the final (optimal) iterate of the initial problem and their negligible computational cost. This is a major advantage when comparing to previously suggested strategies that require a pool of iterates from the solution process of the initial problem. Consequently ourdoi:10.1007/s12532-012-0046-z fatcat:6jx7xjdpejhobm4ijbarc5ywwa