@article {8656,
	title = {Kernel function based interior point algorithms for linear optimisation},
	journal = {International Journal of Mathematical Modelling and Numerical Optimisation},
	volume = {9},
	number = {2},
	year = {2019},
	pages = {158 - 177},
	abstract = {We propose a primal-dual interior-point algorithm for linear optimisation based on a class of kernel functions which is eligible. New search directions and proximity measures are defined based on these functions. We derive the complexity bounds for large and small-update methods respectively. These are currently the best known complexity results for such methods.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=98785},
	author = {El Amir Djeffal and Bachir Bounibane}
}
