Arc-Search Infeasible Interior-Point Algorithm for Linear Programming
arXiv:1406.4539 · doi:10.1007/s11075-016-0180-1
Abstract
Mehrotra's algorithm has been the most successful infeasible interior-point algorithm for linear programming since 1990. Most popular interior-point software packages for linear programming are based on Mehrotra's algorithm. This paper proposes an alternative algorithm, arc-search infeasible interior-point algorithm. We will demonstrate, by testing Netlib problems and comparing the test results obtained by arc-search infeasible interior-point algorithm and Mehrotra's algorithm, that the proposed arc-search infeasible interior-point algorithm is a more efficient algorithm than Mehrotra's algorithm.
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- A polynomial time infeasible interior-point arc-search algorithm for convex optimization
- Constrained LQR Design Using Interior-Point Arc-Search Method for Convex Quadratic Programming with Box Constraints