
doi: 10.1007/bf01594926
The authors presents an interior point method for finding an analytic center of a convex feasible region whose boundaries are defined by quadratic functions. The algorithm starts from an arbitrary initial point and approaches the desired center by simultaneously reducing infeasibility or slackness of all constraints. A partial Newton step is taken at each iteration.
Convex programming, convex quadratic programming, Computational methods for problems pertaining to operations research and mathematical programming, interior point method, analytic center, Quadratic programming
Convex programming, convex quadratic programming, Computational methods for problems pertaining to operations research and mathematical programming, interior point method, analytic center, Quadratic programming
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