arXiv · 2305.12275
An Efficient IPM Implementation for A Class of Nonsymmetric Cones
Abstract
We present an efficient implementation of interior point methods for a family of nonsymmetric cones, including generalized power cones, power mean cones and relative entropy cones, by exploiting underlying low-rank and sparse properties of Hessians of homogeneous self-concordant barrier functions. We prove that the augmented linear system in our interior point method is sparse and quasi-definite, enabling the use of sparse LDL factorization with a dual scaling strategy for nonsymmetric cones. Numerical results show that our proposed implementation for nonsymmetric cones performs much faster than the state-of-art solvers for spare problems and scales well for large problems.
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Yuwen Chen, Paul Goulart. 2023-05-20. An Efficient IPM Implementation for A Class of Nonsymmetric Cones. https://arxiv.org/abs/2305.12275
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