The LAP-JV example visualizes the Linear Assignment Problem, showing how seven randomly placed points are optimally matched to a 7x7 grid of target cells. The code uses the `lap()` function from the lap-jv library to compute the minimum-cost assignment, with costs derived from squared Euclidean distances. Animated SVG lines initially converge from points to their assigned grid positions, followed by circles transitioning to their final cells, while a d3-annotation callout highlights the most expensive attribution. The visualization relies on d3.v4 with SVG transitions and the d3-annotation library to label the result.