We present a general framework whereby analysis of interior-point algorithms for semidefinite programming can be extended verbatim to optimization problems over all classes of symmetric cones ...
Mathematics of Computation, Vol. 69, No. 229 (Jan., 2000), pp. 283-304 (22 pages) Recently, based upon the Chen-Harker-Kanzow-Smale smoothing function and the trajectory and the neighbourhood ...
Interior point methods have revolutionised the field of optimisation over the past few decades, offering robust and efficient alternatives to traditional simplex and iterative algorithms. These ...
Interior-point methods constitute a robust class of algorithms for solving constrained optimisation problems by exploring the interior of the feasible region instead of traversing its boundary. These ...
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