An audacious heist at the Louvre saw thieves make off with priceless crown jewels in broad daylight – here is how a ...

Prince Rupert of the Rhine first asked this question in the 17th century, and he soon found out the answer is yes. Later, ...

Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...

To see how one cube can pass through another, imagine holding a cube over a table and examining its shadow (assuming it’s ...

American Journal of Mathematics, Vol. 138, No. 2 (April 2016), pp. 499-527 (29 pages) This paper deals with some geometrical properties of solutions of some semilinear elliptic equations in bounded ...

The Difference of Convex functions Algorithm (DCA) is used to solve nonconvex optimization problems over a certain convex set, specifically quadratic programming ones, generally by finding approximate ...