A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the ...

The dynamic optimization problem (6) has a locally decomposable cost function (6a), local constraints (6c)– (6e), and global constraint (6b), and hence, is a centralized optimization problem. On the ...

The satellite task scheduling problem is a multi-objective multi-constraint optimization problem and has been shown to be NP-hard. In this section, first, the SPBO algorithm is first briefly reviewed, ...

The main challenge when solving constrained multiobjective optimization problems (CMOPs) with intricate constraints and high dimensionality is how to overcome a problem of irregular and ...

In Apple's great 2024 software refresh—specifically iOS 18, iPadOS 18, and macOS 15 Sequoia —a new tool called Math Notes was added to the Calculator and Notes apps. It's essentially a ...

The conference on domain decomposition methods for optimization with PDE constraints will be held in Monte Verita, Ascona, Switzerland from September 1 to 6, 2013. The focus of this conference is on ...

1 Department of Engineering, University of Ferrara, Ferrara, Italy 2 Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy Integration between constrained optimization ...