ADMM-based Interior Point Method for Linear and Conic Programming (ABIP) is a new framework that applies alternating direction method of multipliers (ADMM) to implement interior point method (IPM) for solving large-scale linear programs (LP) and conic programs (QCP). ABIP (LP part) was initially developed by Tianyi Lin (https://github.com/tyDLin) and is currently maintained by LEAVES optimization software platform. The original ABIP follows the following paper: @article{lin_admm-based_2021, title = {An {ADMM}-based interior-point method for large-scale linear programming}, volume = {36}, number = {2-3}, journal = {Optimization Methods and Software}, author = {Lin, Tianyi and Ma, Shiqian and Ye, Yinyu and Zhang, Shuzhong}, year = {2021}, note = {Publisher: Taylor \& Francis}, pages = {389--424}, }
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Deng et al. (2024) studied this question.
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