A high-performance Rust-based nonlinear least squares optimization library designed for computer vision applications including bundle adjustment, SLAM, and pose graph optimization. Built with focus on ...

Abstract: Spectral clustering has received widespread attention for its effectiveness in handling nonconvex geometries. The classic methods of spectral clustering include Ratio Cut (Rcut), Normalized ...

Abstract: Portfolio optimization is one of the most important financial problem, suffering from huge computational pressure due to arithmetic complexity. Quantum computing offers polynomial or even ...