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 ...

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 ...

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 ...

Characterising complex quantum systems is a vital task in quantum information science. Quantum tomography, the standard tool used for this purpose, uses a well-designed measurement record to ...

On a scale of 0 to 10, how much does the average citizen of the Republic of Elbonia trust the president? You’re conducting a survey to find out, and you’ve calculated that in order to get the ...

As positive matrices and operators have gained increased prominence in theoretical, applied, and computational settings, finding appropriate methods for averaging them has become an important task. In ...