Tree node expansion method based on multiple selected nodes, electronic device, and medium

By constructing a list of nodes and a stack of nodes to be processed, the problem of low efficiency in expanding tree nodes is solved, achieving efficient and accurate expansion of tree nodes and simplifying the expansion operation of complex tree data structures.

CN120745523BActive Publication Date: 2025-11-07成都融见软件科技有限公司 +1
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Patent Information

Application Number
CN202511273170.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-08
Publication Date
2025-11-07
Estimated Expiration
2045-09-08

AI Technical Summary

Technical Problem

In electronic design automation, expanding tree nodes based on multiple selected nodes is inefficient and error-prone, and existing technologies struggle to improve both efficiency and accuracy.

Method used

By constructing a list of currently selected nodes and combining it with a stack of nodes to be processed, the system uses depth-first traversal as the main approach, supplemented by breadth-first traversal, to gradually expand each currently selected node to the required expansion depth. The stack of nodes to be processed is used to ensure the accuracy and efficiency of node expansion.

Benefits of technology

It improves the efficiency and accuracy of tree node expansion, simplifies the expansion operation of complex tree data structures, reduces errors, and enhances the user experience.

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Abstract

The present application relates to the technical field of EDA design, and more particularly to a tree node expansion method based on multiple selected nodes, an electronic device and a medium, the present application constructs a list of currently selected nodes, combines a node stack to be processed, takes depth-first traversal as a main line, cooperates with breadth-first traversal, and expands each currently selected node to a depth to be expanded, thereby improving the tree node expansion efficiency and accuracy based on multiple selected nodes, and greatly facilitating the user's expansion operation behavior on complex tree-shaped data structures.
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