Abstract: A loss minimization method based on three-phase asymmetric control is proposed for doubly salient electromagnetic generator (DSEG) systems. The three-phase magnetic circuit of DSEG is ...

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

When it comes to data collection, the ad tech industry has long had a hoarder mentality. Gather up as much data as you can from as many sources as possible, store it indefinitely, and if you’re not ...

Data minimization — a longstanding bedrock principle of privacy and data protection — has quietly become one of the most contentious issues in U.S. legislative privacy proposals. Policymakers have ...

Data minimization requirements are not new but they are becoming more common, and enforcement is on the rise. "Legal basis" requirements for data processing, justifying data processing activities and ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Web Page code (HTML, CSS, and JavaScript) responsible for an application that, in the context of linear optimization, gives the best solution through the Simplex Method. Made alongside Paulo Henrique ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

Department of Physics, Duke University, Durham, North Carolina 27708-0187, United States Department of Mathematics, Duke University, Durham, North Carolina 27708-0187, United States Department of ...