For practical applications this mutually recursive tree/forest pair seems like a strictly worse version of a rose tree, which can be defined as type RoseTree = { value: A, children: Array}. Rose trees are my favorite data structure. In some cases children could be better served by a linked list rather than an array, which brings these two structures closer to one another, but the fact that a rose tree cannot contain gaps and that its definition is not mutually recursive are points in its favor. ↩
These requirements will hopefully become more clear as we start trying out different algorithms, and seeing examples of their successes and failure modes. Before we get too deep in the weeds, though, I want to emphasise that not all reactive systems are the same, and some don’t need all of these requirements. For example, lots of simple reactive systems work just fine with static dependencies only, trading off some efficiency wins for implementation simplicity. Similarly, glitches are only important if they are actually observed, so some reactive systems will be glitch-y by default, but provide tools for syncing nodes together if the user actually needs them to be in sync.
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