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 ...
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 ...
Journal of Computational Mathematics, Vol. 37, No. 6 (November 2019), pp. 843-865 (23 pages) ...
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