Cold-weather issues, take one. Enquiring minds among readers want to know: I have had my convex mirrors crack in the wintertime more than once and was wondering if I am the only one and what people ...

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 ...

NASCAR's foward-looking Next Gen Cup Series cars have a new way for drivers to look behind them. During a test this week at Daytona International Speedway, the radically redesigned cars were equipped ...

Q: When was the right side mirror first used and when and why was the warning changed to “objects in mirror may be closer than they appear”? Which leads to another question: Why do they say “may” when ...

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 ...

In this paper we consider location-allocation problems in which the region to be served is a convex polygon having a uniform demand distribution. Both single and multifacility formulations are ...