Podcast
Questions and Answers
Within the context of binary tree balancing, which of the following statements accurately differentiates between a perfectly balanced tree and a not perfectly balanced tree?
Within the context of binary tree balancing, which of the following statements accurately differentiates between a perfectly balanced tree and a not perfectly balanced tree?
- A perfectly balanced tree requires all nodes to have exactly two children, whereas a not perfectly balanced tree allows nodes to have zero or one child.
- A perfectly balanced tree necessitates that the subtree heights must differ by at most two for any given node, as opposed to a not perfectly balanced tree where no such constraint applies.
- A perfectly balanced tree dictates that the subtrees of each node must be of the same height, while a not perfectly balanced tree allows subtree heights to differ by at most one for at least one node. (correct)
- A perfectly balanced tree mandates that all leaf nodes must reside at the identical level, whereas a not perfectly balanced tree permits leaf nodes to exist across multiple levels.
In the context of binary tree rotations, right rotation can be performed on any node irrespective of whether it has a left child.
In the context of binary tree rotations, right rotation can be performed on any node irrespective of whether it has a left child.
False (B)
Elaborate on the sequence of node re-positioning involved in executing a right rotation on a designated node within a binary tree.
Elaborate on the sequence of node re-positioning involved in executing a right rotation on a designated node within a binary tree.
- Move the left child into the node's position. 2. Move the right child of the former left child to become the node's new left child. 3. Move the node to become the right-child of its former left child.
During a left rotation on a node, the node is repositioned to become the ______-child of its former right child.
During a left rotation on a node, the node is repositioned to become the ______-child of its former right child.
Match the following tree balancing methods with their respective operational characteristics:
Match the following tree balancing methods with their respective operational characteristics:
What distinguishing characteristic defines an AVL tree in contrast to a generic binary search tree?
What distinguishing characteristic defines an AVL tree in contrast to a generic binary search tree?
An AVL tree's structural integrity remains uncompromised even if a single node violates the height balance property.
An AVL tree's structural integrity remains uncompromised even if a single node violates the height balance property.
Articulate the practical implications of the assertion that 'AVL trees permit some apparently unbalanced trees'.
Articulate the practical implications of the assertion that 'AVL trees permit some apparently unbalanced trees'.
Nodes in an AVL tree are categorized as left-heavy, balanced, or right-heavy based on their ______ factor, which indicates the height difference between subtrees.
Nodes in an AVL tree are categorized as left-heavy, balanced, or right-heavy based on their ______ factor, which indicates the height difference between subtrees.
Match each AVL tree term with its corresponding definition:
Match each AVL tree term with its corresponding definition:
When a new node insertion into a red-black tree violates its defining properties, which corrective measure is typically employed to restore structural integrity?
When a new node insertion into a red-black tree violates its defining properties, which corrective measure is typically employed to restore structural integrity?
In a red-black tree, the root node is permitted to be red under specific circumstances.
In a red-black tree, the root node is permitted to be red under specific circumstances.
Explain the implications of the red-black tree property mandating that every path from a given node to any of its descendant NULL nodes contains the same number of black nodes.
Explain the implications of the red-black tree property mandating that every path from a given node to any of its descendant NULL nodes contains the same number of black nodes.
In a red-black tree, a node is designated as 'sentinel' to serve as a convenient means of flagging that you have reached a ______ node.
In a red-black tree, a node is designated as 'sentinel' to serve as a convenient means of flagging that you have reached a ______ node.
Match the following red-black tree properties with their corresponding descriptions:
Match the following red-black tree properties with their corresponding descriptions:
How does a splay tree fundamentally differ from AVL and Red-Black trees in its approach to maintaining balance?
How does a splay tree fundamentally differ from AVL and Red-Black trees in its approach to maintaining balance?
Splay trees store height data at each node to facilitate efficient rebalancing after each access.
Splay trees store height data at each node to facilitate efficient rebalancing after each access.
Explain the role of 'splaying' operations in maintaining balance and optimizing search times within a splay tree.
Explain the role of 'splaying' operations in maintaining balance and optimizing search times within a splay tree.
In splay trees, if the accessed node is the 'inside' node of its parent, a ______ rotation (zig-zag or zag-zig) is performed.
In splay trees, if the accessed node is the 'inside' node of its parent, a ______ rotation (zig-zag or zag-zig) is performed.
Match the following splay tree concepts with their corresponding descriptions:
Match the following splay tree concepts with their corresponding descriptions:
What is the primary advantage of a splay tree over an AVL tree in scenarios involving non-uniformly distributed access patterns?
What is the primary advantage of a splay tree over an AVL tree in scenarios involving non-uniformly distributed access patterns?
Due to inherent balancing mechanisms, splay trees always result in a tree that is well-balanced after a series of insertions.
Due to inherent balancing mechanisms, splay trees always result in a tree that is well-balanced after a series of insertions.
Contrast the rotation strategies employed in splay trees with those used in AVL trees, emphasizing the implications for overall tree structure and access efficiency.
Contrast the rotation strategies employed in splay trees with those used in AVL trees, emphasizing the implications for overall tree structure and access efficiency.
In the context of rotations within splay trees, a zig-zag rotation is equivalent to a ______ double rotation in an AVL tree.
In the context of rotations within splay trees, a zig-zag rotation is equivalent to a ______ double rotation in an AVL tree.
Match the following tree types with their respective advantages:
Match the following tree types with their respective advantages:
When is it most appropriate to use a dictionary data structure?
When is it most appropriate to use a dictionary data structure?
In complex data structures, dictionaries cannot be nested within other data structures.
In complex data structures, dictionaries cannot be nested within other data structures.
Describe an instance where one might utilize a dictionary in conjunction with a tree data structure.
Describe an instance where one might utilize a dictionary in conjunction with a tree data structure.
The time complexity of looking up a value in a dictionary is typically ______ on average, assuming a good hash function is used.
The time complexity of looking up a value in a dictionary is typically ______ on average, assuming a good hash function is used.
Match the operations commonly associated with dictionaries with the corresponding time complexities:
Match the operations commonly associated with dictionaries with the corresponding time complexities:
Flashcards
Define a Perfectly Balanced Tree
Define a Perfectly Balanced Tree
A tree where the sub-trees of each node are of the same height.
Define a Not Perfectly Balanced Tree
Define a Not Perfectly Balanced Tree
A tree where, for at least one node, the heights of the sub-trees differ by at most 1.
What is the Right Rotation Algorithm?
What is the Right Rotation Algorithm?
Move left child into Node's position. Move right child of Node's former left child to become the Node's new left child. Move Node to become the right-child of the Node's former left child.
What is the Left Rotation Algorithm?
What is the Left Rotation Algorithm?
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What are AVL Trees?
What are AVL Trees?
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Definition of an AVL tree
Definition of an AVL tree
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What is a Balance Factor?
What is a Balance Factor?
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What is a Red-Black Tree?
What is a Red-Black Tree?
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What are the properties of Red-Black Trees?
What are the properties of Red-Black Trees?
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Define Splay Trees
Define Splay Trees
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What is the simplest approach to Splaying?
What is the simplest approach to Splaying?
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What is a 'zig-zag' or 'zag-zig' Rotation in Splay Trees?
What is a 'zig-zag' or 'zag-zig' Rotation in Splay Trees?
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What is 'zig-zig' or 'zag-zag' in Splay Trees?
What is 'zig-zig' or 'zag-zag' in Splay Trees?
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Study Notes
- Overview of dictionaries and balancing trees
Balancing Trees
- Binary trees are balanced by re-positioning nodes without changing the tree's character
- Balancing is achieved through right and left rotations
Perfectly Balanced Tree
- Sub-trees of each node are the same height
Not Perfectly Balanced Tree
- Heights of sub-trees differ by at most 1
Right Rotation
- A node with a left child rotates to balance the tree
- Algorithm:
- Move left child into node's position
- Move right child of the former left child to be the node's left child
- Move the node to become the right-child of its former left child
- Right rotation can only be done on a node with a left child
Left Rotation
- A node with a right child rotates to balance the tree
- Algorithm:
- Move right child into node's position
- Move left child of the Node's former right child to become the Node's new right child
- Move the Node to become the left-child of the Node's former right child
- Left rotation can only be done on a node with a right child
AVL Trees
- Balanced binary search trees
- Named after Adelson-Velskii and Landis
- First dynamically balanced trees proposed
- Not perfectly balanced; sibling sub-trees' heights differ by at most 1
- Must be a binary search tree
AVL Tree Properties
- Sub-trees of every node differ in height by at most one
- Every sub-tree is an AVL tree
- Single violation can render the entire tree unbalanced
- Insertion/Deletion
- Requires extra attribute, called the balance factor to each node
- Balancing factor indicates whether the tree is left-heavy, balanced or right-heavy
- Heavy height of sub-tree is 1 greater than the opposite sub-tree
- Rotations are performed to correct balance
Red-Black Trees
- A binary search tree with a colour attribute (red or black) for each node in addition to tracking the parent node
- Properties:
- Every node is either red or black
- Every leaf (NULL) is black
- The root node is black
- If a node is red, children must be black
- Every simple path from a "root node” to a descendant leaf contains the same number of black nodes
- All external nodes have the same black depth
- On any path from the root to a leaf, red nodes cannot be parents or children of other red nodes
- Any number of black nodes may appear in a sequence
- The number of black nodes on any path from a node to a leaf (excluding the node) is the black-height
- Additions and deletions may require rotations to restore its properties
- Maintaining a red-black tree primarily involves recolouring and rotation
Red-Black Trees - Addition Algorithm
- Create a new node to hold the value
- If the tree is empty, make node the root; go left or right as in a binary search tree, otherwise
- If encountering a node with both children red, colour the children black and re-colour the node red
- Add node as a red child to the appropriate leaf
- If red links creates 2 consecutive red nodes, colour the first red node black and its parent red, then rotate about the parent node to create a black node with 2 red children
- If the root is not black, re-colour it black
- Enter nodes as in a normal BST; new nodes are coloured RED
- If you pass a Black node with TWO RED children, the Black node should be re-coloured RED and its two RED children re-coloured BLACK
- If the parent is a right-child of the grand-parent, perform a left-rotation with the grand-parent, otherwise perform right-rotation. This will result in a sub-tree with a Black sub-root and two Red children
- The root must be coloured Black
Red-Black Trees - Deletion
- Nodes are deleted as defined by the Binary Search Tree
- Colour of deleted node is retained for its replacement
Splay Trees
- Self-adjusting binary search trees
- Combines AVL tree benefits with a simple random binary search tree
- AVL trees are always balanced and height is tracked continually for sub-trees at each node
- Splay tree does not store height data
- Upon node access, the accessed node is moved to the root using AVL rotations; insertions may also be rotated to the root
Splay Trees - Results in practice
- In practice it will result in a tree which is NOT well balanced, but a tree with very fast access times
- Highly unbalanced trees may be formed from the insertions, but each access will tend to move towards fixing the problem
- Benefits
- Given a good splaying algorithm, search times will be fast
- There is no work in storing heights a splay tree can approach (and sometimes improve on) an AVL tree
- Nodes that are frequently accessed will be very near to the root
Splay Trees - How to Splay?
- Rotate an accessed node all the way to the root using single rotations
- Problem: Improves the situation for some nodes, others end up further away from the root
- A better overall tree shape is achieved using double rotations
- If the accessed node is the inside node of its parent, use a double rotation (zig-zag or zag-zig); but if it is an outside node, use two single rotations (zig-zig or zag-zag) :
- Zig = Right-Rotation
- Zag = Left-Rotation
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