A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

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 ...

We invest across the world’s fixed income markets to meet clients’ needs for income and capital preservation. Global platform with investment capabilities spanning the full spectrum of active fixed ...

Abstract: This paper investigates the problem of distributed Nash equilibrium seeking with fixed-time convergence for constrained non-cooperative games over directed communication graphs. Distributed ...