What is an inverted dependency index in a reactive graph system, and how does it avoid O(n) recomputation?

1Key Takeaways

• An inverted dependency index is a data structure mapping leaf nodes directly to their upward subscribers, avoiding O(n) recomputation by replacing global graph traversal with localized, targeted bubbling.
• How the Inverted Index Works Mapping Direction: Instead of tracing top-down from roots to leaves, it maps a leaf or source node directly to the specific higher-level derivations that depend on it.
• Direct Subscriptions: Each data point stores an explicit list of its direct upward listeners or….