Each UAV, motivated by selfinterest, seeks to optimize its performance function by adjusting its actions within shared equality and inequality constraints. To facilitate this, a fixed-time generalized ...

particularly those involving multiple sets or complex constraints. One notable advancement is the generalized block-iterative projection (BIP) method, which extends traditional projection ...

Optimal control and variational problems are mathematical frameworks used to find the best possible solutions to problems that involve dynamic systems and constraints. These problems often arise ...

New Delhi [India], January 7 (ANI): Amid a debate on finding solutions to Indian fighter aircraft requirements, Defence Secretary Rajesh Kumar Singh on Tuesday made it clear that there was no resource ...

The data were geo-referenced from digitizer coordinates to the polyconic projection and then projected into an Albers ... The map units are closed polygons that are generalized in shape and size. They ...

A curated list of research works and resources on optimal transport in machine learning. Related Paper. @article{khamis24OT, title={Scalable Optimal Transport Methods in Machine Learning: A ...

This study addresses a novel and interesting question about how the rise of the Qinghai-Tibet Plateau influenced patterns of bird migration, employing a multi-faceted approach that combines species ...

By operating within this localized framework, our model improves its robustness to variations in global positioning and eliminates the need for complex transformations typically required in global ...

We imagine there is no private sector. It is easy if we try. The motivation is the hightailing of capital from the provision of decent work at a social wage in projects using technologies that are ...

According the Equations (2)-(4), the constraint matrix consisted by total constraint reciprocal screw which is acted on platform by all branches is, Considering the symmetry of the mechanism, the ...