Breaking down the problem
I’m analyzing a complete binary tree where the 10th level contains 10 leaf nodes. Unlike typical trees, the 10th level may be the last, making it crucial to understand the specific tree structure.
Considering level structure
I’m mapping out the tree's structure, noting that in a complete binary tree, the 10th level hosts 10 leaf nodes, which could be the last level or the second to last.
Determining total nodes
I’m calculating the maximum number of nodes in a complete binary tree, considering the 10th level with 10 leaves, which might be the last level or second to last.
Assessing node maximization
OK, I’m considering how to maximize nodes by fully filling levels 1 to 9 and possibly partially filling beyond the 10th level, which likely is the last.
Mapping out tree nodes
OK, let's think this through: the 10th level with 10 leaf nodes likely denotes the last level. Having nodes beyond it would negate their leaf status.
Determining node count
Interestingly enough, a complete binary tree with 10 levels, fully filled to level 9, can have up to 1023 nodes. The 10th level adds up to 2^9 = 512 nodes.
Figuring out node capacity
For a complete binary tree with 10 levels, a fully filled 10th level would have 512 nodes. With 10 nodes on level 10, 2^9 = 512 nodes can be added.
Confirming tree structure
Interestingly enough, in a complete binary tree, level 10 must be fully filled with 512 nodes to add nodes to level 11. Therefore, level 10 contains exactly 10 nodes.
Maximizing level 9 nodes
Interestingly, filling level 9 completely allows level 10 to maintain 10 nodes, as the completeness up to level 9 doesn't interfere with the last level's node count.
Balancing node distribution
It's interesting to see that filling level 9 with 256 nodes ensures level 10 has just 10 nodes, since not all nodes in level 9 will have children.
Maximizing tree nodes
By filling level 9 first, the last level can hold exactly 10 nodes. This ensures the tree achieves its maximum potential node count.
Maximizing level 9
I’m thinking level 9 can hold 256 nodes if fully filled, allowing the last level to fit exactly 10 nodes.
I’m piecing it together
To ensure the last level has exactly 10 nodes, I’m figuring out how many nodes in level 9 need to be parents, filling left to right on level 10.
Organizing children
I’m placing 10 children in level 9, sequentially adding left and right children from available parents until all slots are filled, ensuring a complete binary tree structure.
Distributing responsibilities
I’m thinking about evenly distributing the 10 children among 5 parents, with each parent taking on 1 to 2 children. This ensures a balanced workload.
Mapping the skill
I’m figuring out that to have 10 children in level 10, 5 parents are needed to cover all the spots. This approach effectively manages the level 10 node distribution.
Clarifying node specifics
OK, let me see. The first 5 nodes in level 9 have 2 children each in level 10, totaling 10 children. The remaining 251 nodes in level 9 are leaves.
Piecing it together
I'm working through the 10th level having 10 leaves, while the 9th and other levels might also contain leaves, as complete binary trees typically have leaves at the last or second last levels.
Wondering about node count
Considering if the 10th level houses all leaves. If nodes in level 9 lack children, they are also leaves, potentially totaling 261 leaves.
Deciphering leaf ambiguity
Hmm, I’m thinking about the possibility of leaves in both levels 9 and 10 of a complete binary tree. The question might be deliberately vague or tricky.
Mapping out the solution
OK, let’s interpret the 10th level as the final one with 10 leaves. Filling levels 1 to 8 ensures the maximum number of nodes in the tree.
Maximizing tree nodes
Considering filling level 9 with as many nodes as possible from left to right, while ensuring the 10th level has exactly 10 nodes.
Pooling resources
Filling levels 1 to 8 completely uses 255 nodes. Then, by adding 255 nodes to level 9 from left to right, I dump all leftover nodes into level 9.
Filling node spaces
I’m placing 10 children in level 9, ensuring no more than 10 leaves in level 10. This results in a total of 521 nodes.
Maximizing node distribution
I realized that the optimal layout involves filling levels 1 to 8 completely and strategically placing nodes in level 9 to ensure exactly 10 leaves in level 10.
Maximizing node placement
I’m thinking of filling levels 1 to 8 completely, then strategically placing 256 nodes in level 9, ensuring exactly 10 leaves in level 10, totaling 521 nodes.
Aligning nodes
I'm thinking about filling levels 1 to 8 completely, then using 256 nodes in level 9, ensuring exactly 10 leaves in level 10, resulting in 521 nodes in total.
Validating the structure
I’m confirming that fully filling level 9 with 256 nodes and ensuring exactly 10 leaves in level 10 results in a total of 521 valid nodes, completing a complete binary tree.
Thought about 完全二叉树节点数量,持续 1m 22s