heap property造句
造句與例句
手機版
- Now the heap property is violated since 8 is greater than 4.
- This will generally violate the heap property, and so the elements are then sifted up until the heap property has been reestablished.
- This will generally violate the heap property, and so the elements are then sifted up until the heap property has been reestablished.
- The validity of the tree structure is ensured by creating a certificate at each edge that enforces the heap property on that edge.
- The heapify procedure can be thought of as building a heap from the bottom up by successively sifting downward to establish the heap property.
- In the first, the heap is grown by repeatedly adding the next unsorted element, and performing rearrangements to restore the heap properties.
- In this case, swapping the two elements, 4 and 8, is enough to restore the heap property and we need not swap elements further:
- This can however be wasteful as each Extract-Min ( H ) and Insert ( H, x ) typically have to maintain the heap property.
- Then starting from the lowest level and moving upwards, sift the root of each subtree downward as in the deletion algorithm until the heap property is restored.
- For the above algorithm to correctly re-heapify the array, the node at index " i " and its two direct children must violate the heap property.
- It's difficult to see heap property in a sentence. 用heap property造句挺難的
- We first place the 15 in the position marked by the X . However, the heap property is violated since 15 > 8, so we need to swap the 15 and the 8.
- Each tree maintains the max-heap property that each node is always at least as large as either of its children ( and thus the root of the tree is the largest element of all ).
- If both heaps contain a tree of order " j ", the two trees are merged to one tree of order " j " + 1 so that the minimum-heap property is satisfied.
- The downward-moving node is swapped with the " larger " of its children in a max-heap ( in a min-heap it would be swapped with its smaller child ), until it satisfies the heap property in its new position.
- To insert a new item into the heap, the item is appended to the end of the array, and then while the heap property is violated it is swapped with its parent, moving it upward in the tree and earlier in the array, until eventually the heap property is satisfied.
- To insert a new item into the heap, the item is appended to the end of the array, and then while the heap property is violated it is swapped with its parent, moving it upward in the tree and earlier in the array, until eventually the heap property is satisfied.
- The number of operations required depends only on the number of levels the new element must rise to satisfy the heap property, thus the insertion operation has a worst-case time complexity of O ( log " n " ) but an average-case complexity of O ( 1 ).
- Then, while item " x " and its children do not satisfy the heap property, item " x " is swapped with one of its children ( the one with the smallest priority in a min-heap, or the one with the largest priority in a max-heap ), moving it downward in the tree and later in the array, until eventually the heap property is satisfied.
- Then, while item " x " and its children do not satisfy the heap property, item " x " is swapped with one of its children ( the one with the smallest priority in a min-heap, or the one with the largest priority in a max-heap ), moving it downward in the tree and later in the array, until eventually the heap property is satisfied.
- An insertion into a treap may be performed by inserting the new key as a leaf of an existing tree, choosing a priority for it, and then performing tree rotation operations along a path from the node to the root of the tree to repair any violations of the heap property caused by this insertion; a deletion may similarly be performed by a constant amount of change to the tree followed by a sequence of rotations along a single path in the tree.
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