Abstract: We present a heuristic for minimizing the rank of a positive semidefinite matrix over a convex set. We use the logarithm of the determinant as a smooth approximation for rank, and locally ...

Python wrapper for OSQP: The Operator Splitting QP solver. The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Many electronic structure methods rely on the minimization of the energy of the system ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

A collinear backscattering Mueller matrix (CBMM) imaging system has clear advantages in the detection of bulk biological tissues, which are highly scattering and depolarizing. Due to the double-pass ...

The development of deformable drones is of high importance but presents significant challenges. Such drones can be based on tensegrity structures, which leaves open the questions of ...

While we ultimately want speedups when executing on a real quantum device, we can study speedups theoretically and prove these speedups exist mathematically. To do so, we often study the problem in an ...

Because the list based, functional toolbox of Raku is not enough to calculate matrices comfortably, there is a need for a dedicated data type. The aim is to provide a full featured set of structural ...

Modern data analysis requires solving hard optimization problems with a large number of parameters and a large number of constraints. A successful approach is to replace these hard problems by ...