Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems

Convex optimization solvers are widely used in the embedded systems that require sophisticated optimization algorithms including model predictive control (MPC). In this paper, we aim to reduce the online solve time of such convex optimization solvers so as to reduce the total runtime of the algorith...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Zafar Iqbal, Saeid Nooshabadi, Ichitaro Yamazaki, Stanimire Tomov, Jack Dongarra
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2021-01-01
主題:	Convex optimization linear solver Karush–Kuhn–Tucker (KKT) embedded systems
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9517277/