Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...
ABSTRACT: Two Mehrotra-type predictor-corrector interior point algorithms are proposed for solving symmetric cone optimization (SCO) problems, using the Euclidean Jordan algebra. The algorithms ...
Abstract: This article proposes a unified consensus algorithm with predefined-time convergence aimed at solving time-varying optimization problems based on multiagent systems under connected and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results