Optimal Transport

Optimal Transport is a mathematical way to find the most efficient way to move or transform one distribution of items into another, minimizing the cost involved. Imagine you're trying to reshape a pile of sand into a new pattern; Optimal Transport determines the best way to move the grains so that the overall effort or distance traveled is as small as possible. It has applications in fields like logistics, image processing, and machine learning, where it helps compare, match, and morph different data sets or distributions effectively and efficiently.