Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

A company that avoids failure is avoiding risk, and a manufacturing company that stops taking risks on new products risks ...

These instructions are meant to take a user familiar with computers but new to (or a beginner with) Python through the basics of how to get gFlex to work. The Python scripting part towards the end ...

Abstract: Sparsity-regularized linear inverse problem has served as the base in many disciplines, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed ...

Abstract: In this paper, we study the distributed constrained optimization problem where the objective function is the sum of local convex cost functions of distributed nodes in a network, subject to ...

If you're a soccer fan, you're familiar with this common sight: A penalty kick is in place, with a "wall" of defenders lined up in front of the goal, ready to leap to try to block the ball if it sails ...

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

Inertial microfluidics allows for passive, label-free manipulation of particles suspended in a fluid. Physical experiments can understand the underlying mechanisms to an extent whereby inertial ...

Thermoelectric generator (TEG) with improved performance is a promising technology in power supply and energy harvesting. Existing studies primarily adopt constant material properties to investigate ...

The consumption of solving large-scale linear equations is one of the most critical issues in numerical computation. An innovative method is introduced in this study to solve linear equations based on ...

In this study, we applied the variational iteration method to solve the Boussinesq time equation. Bossiness’s article from 1872 introduced the equations that are now known as the Boussinesq equations.

Dude, what if everything around us was just ... a hologram? The thing is, it could be—and a University of Michigan physicist is using quantum computing and machine learning to better understand the ...