This paper proposes a high performance least square solver on FPGAs using the Cholesky decomposition method. Our design can be realized by iteratively adopting a single triangular...
Depeng Yang, Gregory D. Peterson, Husheng Li, Junq...
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
A box-constrained integer least squares problem (BILS) arises from several wireless communications applications. Solving a BILS problem usually has two stages: reduction (or prepro...
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...