Wilkinson defined a sparse matrix as one with enough zeros that it pays to take advantage of
them. 1 This informal yet practical definition captures the essence of the goal of direct …

We present a general-purpose solver for convex quadratic programs based on the
alternating direction method of multipliers, employing a novel operator splitting technique …

Guidance and control (G&C) technologies play a central role in the development and
operation of vehicular systems. The emergence of computational guidance and control …

In this paper, we describe the embedded conic solver (ECOS), an interior-point solver for
second-order cone programming (SOCP) designed specifically for embedded applications …

We introduce a first-order method for solving very large convex cone programs. The method
uses an operator splitting method, the alternating directions method of multipliers, to solve …

We describe the University of Florida Sparse Matrix Collection, a large and actively growing
set of sparse matrices that arise in real applications. The Collection is widely used by the …

The CRC Handbook of Finite Fields (hereafter referred to as the Handbook) is a reference
book for the theory and applications of finite fields. It is not intended to be an introductory …

Excerpt More than 25 years have passed since the first edition of this book was published in
1996. Least squares and least-norm problems have become more significant with every …

Bundle adjustment constitutes a large, nonlinear least-squares problem that is often solved
as the last step of feature-based structure and motion estimation computer vision algorithms …

The application of semidefinite programming to the optimal power flow (OPF) problem has
recently attracted significant research interest. This paper provides advances in modeling …