Packing Circle

Packing circles, a problem with applications ranging from materials science to computer vision, focuses on efficiently arranging circles within a larger container, minimizing overlap and maximizing space utilization. Current research explores algorithmic approaches, including encoder-decoder neural networks and transformer-based models like CircleFormer, to optimize circle placement and improve the efficiency of packing solutions. These advancements are impacting fields like medical image analysis (detecting circular objects) and improving the understanding of complex systems, such as those found in multi-agent synchronization problems on circular domains.