Trees
... • (c) F, A, D, and G are to the right of I (from (a) 2) • (d) C is the first left node of I (from (c) and 1) • (e) D is the first right node of I (from (c) and 1) • (f) possibly we have • B to the left of C, • E to the left of B, • H to the right of B … as this satisfies 1 and 2 • (g) F and A are le ...
... • (c) F, A, D, and G are to the right of I (from (a) 2) • (d) C is the first left node of I (from (c) and 1) • (e) D is the first right node of I (from (c) and 1) • (f) possibly we have • B to the left of C, • E to the left of B, • H to the right of B … as this satisfies 1 and 2 • (g) F and A are le ...
Chapter12
... Successor and predecessor • Assuming that all keys are distinct, the successor of a node x is the node y such that y.key is the smallest key > x.key. (We can find x’s successor based entirely on the tree structure. No key comparisons are necessary.) If x has the largest key in the binary search tre ...
... Successor and predecessor • Assuming that all keys are distinct, the successor of a node x is the node y such that y.key is the smallest key > x.key. (We can find x’s successor based entirely on the tree structure. No key comparisons are necessary.) If x has the largest key in the binary search tre ...
Trees Informal Definition: Tree Formal Definition: Tree
... build and use explicit data structures that are concrete realizations of trees describe the dynamic properties of algorithms ...
... build and use explicit data structures that are concrete realizations of trees describe the dynamic properties of algorithms ...
1 Persistent Data Structures
... • numerous special-purpose solutions • One solution: – vertical line through each vertex – divides into slabs – in slab, segments maintain one vertical ordering – find query point slab by binary search – build binary search tree for slab with “above-below” queries – n binary search trees, size ...
... • numerous special-purpose solutions • One solution: – vertical line through each vertex – divides into slabs – in slab, segments maintain one vertical ordering – find query point slab by binary search – build binary search tree for slab with “above-below” queries – n binary search trees, size ...
Key
... __T __ Branch extends its superclass to a tree structure. _F___ A SoundNode object’s call to getNext() would return a SoundNode object. getNext() is inherited from the ...
... __T __ Branch extends its superclass to a tree structure. _F___ A SoundNode object’s call to getNext() would return a SoundNode object. getNext() is inherited from the ...
Outline Notes
... class, the left and right child pointers are such that the data value on the left of any Node is less than it and the data value on the right is greater. This standard remains for this modified Binary Search Tree. In addition, each Node can see (and thus, must maintain) the parent node. The complexi ...
... class, the left and right child pointers are such that the data value on the left of any Node is less than it and the data value on the right is greater. This standard remains for this modified Binary Search Tree. In addition, each Node can see (and thus, must maintain) the parent node. The complexi ...
CSE 114 – Computer Science I Lecture 1
... – A binary tree has a left subtree & right subtree • Depth of a node – starting at a node, the number of steps up to reach the root • Depth of a tree – the maximum depth of any of its leaves ...
... – A binary tree has a left subtree & right subtree • Depth of a node – starting at a node, the number of steps up to reach the root • Depth of a tree – the maximum depth of any of its leaves ...
Binary Trees - Wellesley College
... path from n to a leaf below it. E.g., node G has height 1, node C has height 2, and node F has height 4. The depth of a node n is the length of the path from n to the root. E.g., node F has depth 0, node C has depth 1, and node G has D depth 2. A binary tree is height-balanced iff at every node n, t ...
... path from n to a leaf below it. E.g., node G has height 1, node C has height 2, and node F has height 4. The depth of a node n is the length of the path from n to the root. E.g., node F has depth 0, node C has depth 1, and node G has D depth 2. A binary tree is height-balanced iff at every node n, t ...