Deterministic Skip List for Time-Related Profiles

The patent segments the linear linked list into a hierarchical structure with multiple levels. Each level represents a different granularity of time periods, with higher levels representing aggregated time spans and lower levels representing more detailed time periods. This segmentation allows updates to be localized to specific segments rather than requiring cascading updates through the entire structure, improving computational efficiency while maintaining implementation simplicity.

The patent adds a temporal dimension to the traditional linear linked list by creating a multi-level hierarchy where each level operates at a different temporal granularity. This dimensional transformation enables the structure to handle both simple and complex time-related operations efficiently, resolving the contradiction between implementation simplicity and computational efficiency.

The patent segments the binary tree structure into a hierarchical framework where each level represents a different temporal granularity. This segmentation eliminates the need for rebalancing by allowing the structure to naturally accommodate insertions and deletions at appropriate levels without disrupting the overall balance, maintaining searching efficiency while reducing structural complexity.

The patent creates a dynamic hierarchical structure that adapts to data insertions and deletions without requiring rigid rebalancing operations. The structure dynamically adjusts by placing new nodes at appropriate temporal levels and linking them to parent and sibling nodes, maintaining efficiency while reducing complexity compared to traditional binary trees.

The patent segments the time-related profile into hierarchical levels where each level represents a different temporal granularity. This segmentation isolates updates to specific segments, preventing cascading effects from propagating through the entire structure. Updates only affect nodes within the relevant temporal level and its direct descendants, dramatically reducing updating time while maintaining ease of implementation.

The patent performs preliminary organization of data into hierarchical temporal levels before updates are needed. This preliminary structuring allows updates to be quickly localized to specific levels without requiring cascading modifications, reducing updating time while keeping the implementation straightforward.

The patent segments the linear structure into a hierarchical framework with multiple temporal levels. Each level can be searched independently based on the required granularity, allowing the search to stop at the appropriate level rather than requiring sequential access through all records. This segmentation improves searching speed while maintaining structural simplicity.

The patent adds a hierarchical dimension to the linear structure, enabling searches to proceed level-by-level from coarse to fine granularity. This dimensional enhancement allows the search to terminate early when the required information is found at a higher level, improving searching speed without significantly increasing structural complexity.