Balancing Trees

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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?

  • 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.

False (B)

Elaborate on the sequence of node re-positioning involved in executing a right rotation on a designated node within a binary tree.

  1. 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.

<p>left</p> Signup and view all the answers

Match the following tree balancing methods with their respective operational characteristics:

<p>Right Rotation = Pivots a node to the right, repositioning its left child upward. Left Rotation = Pivots a node to the left, repositioning its right child upward. Perfectly Balanced Tree = Subtrees of each node exhibit identical height. Not Perfectly Balanced Tree = Subtree heights for at least one node differ by at most one.</p> Signup and view all the answers

What distinguishing characteristic defines an AVL tree in contrast to a generic binary search tree?

<p>AVL trees inherently maintain balance by ensuring that the height difference between the subtrees of any node does not exceed one. (A)</p> Signup and view all the answers

An AVL tree's structural integrity remains uncompromised even if a single node violates the height balance property.

<p>False (B)</p> Signup and view all the answers

Articulate the practical implications of the assertion that 'AVL trees permit some apparently unbalanced trees'.

<p>Certain AVL tree configurations may visually convey an impression of imbalance, yet they adhere to the stipulated height constraint, wherein subtree heights differ by a maximum of one.</p> Signup and view all the answers

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.

<p>balancing</p> Signup and view all the answers

Match each AVL tree term with its corresponding definition:

<p>AVL Tree = A height-balanced binary search tree where the height difference between left and right subtrees of any node is at most 1. Balance Factor Violation = Occurs when the height difference between left and right subtrees of a node exceeds 1, necessitating tree rebalancing. Left-Heavy Node = A node in an AVL tree where the height of the left subtree is greater than the height of the right subtree. Right-Heavy Node = A node in an AVL tree where the height of the right subtree is greater than the height of the left subtree.</p> Signup and view all the answers

When a new node insertion into a red-black tree violates its defining properties, which corrective measure is typically employed to restore structural integrity?

<p>Node recoloring and tree rotations. (A)</p> Signup and view all the answers

In a red-black tree, the root node is permitted to be red under specific circumstances.

<p>False (B)</p> Signup and view all the answers

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.

<p>This property ensures approximate balance in the tree, preventing any path from being more than twice as long as any other, thereby guaranteeing logarithmic time complexity for search, insertion, and deletion operations.</p> Signup and view all the answers

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.

<p>leaf</p> Signup and view all the answers

Match the following red-black tree properties with their corresponding descriptions:

<p>Every node is either red or black = Establishes the basic color attribute of nodes which is fundamental to balancing. Every leaf (NULL) is black = Ensures that all paths terminate with a black node, contributing to balanced path lengths. If a node is red, then both its children are black = Prevents paths with consecutive red nodes, limiting path length variance. Every simple path from a node to a descendant leaf contains the same number of black nodes = Guarantees approximate balance, ensuring no path is significantly longer than others.</p> Signup and view all the answers

How does a splay tree fundamentally differ from AVL and Red-Black trees in its approach to maintaining balance?

<p>Splay trees leverage amortization to achieve balance over a sequence of operations, while AVL and Red-Black trees adhere to strict height constraints per node. (D)</p> Signup and view all the answers

Splay trees store height data at each node to facilitate efficient rebalancing after each access.

<p>False (B)</p> Signup and view all the answers

Explain the role of 'splaying' operations in maintaining balance and optimizing search times within a splay tree.

<p>Splaying operations move a newly accessed node to the root of the tree through a series of rotations, improving access times for frequently accessed nodes by bringing them closer to the root, and promoting overall balance through redistribution of node depths.</p> Signup and view all the answers

In splay trees, if the accessed node is the 'inside' node of its parent, a ______ rotation (zig-zag or zag-zig) is performed.

<p>double</p> Signup and view all the answers

Match the following splay tree concepts with their corresponding descriptions:

<p>Splaying = The process of moving an accessed node to the root via zig, zig-zag, and zig-zig rotations. Zig Rotation = A single right rotation performed when the accessed node is a left child of the root. Zag Rotation = A single left rotation performed when the accessed node is a right child of the root. Amortized Analysis = The performance characteristic of splay trees where good performance is guaranteed over a sequence of operations.</p> Signup and view all the answers

What is the primary advantage of a splay tree over an AVL tree in scenarios involving non-uniformly distributed access patterns?

<p>Splay trees dynamically adjust node positions to favor frequently accessed nodes closer to the root, leveraging access locality, whereas AVL trees maintain stricter balance regardless of access frequency. (C)</p> Signup and view all the answers

Due to inherent balancing mechanisms, splay trees always result in a tree that is well-balanced after a series of insertions.

<p>False (B)</p> Signup and view all the answers

Contrast the rotation strategies employed in splay trees with those used in AVL trees, emphasizing the implications for overall tree structure and access efficiency.

<p>Splay trees utilize a series of single and double rotations to move accessed nodes to the root, potentially resulting in temporarily unbalanced structures but optimizing access frequency. AVL trees, on the other hand, employ rotations to strictly enforce height balance properties at each node, guaranteeing logarithmic access times at the cost of more frequent rotations.</p> Signup and view all the answers

In the context of rotations within splay trees, a zig-zag rotation is equivalent to a ______ double rotation in an AVL tree.

<p>left-right</p> Signup and view all the answers

Match the following tree types with their respective advantages:

<p>AVL Tree = Guaranteed logarithmic time complexity for all basic operations due to strict height balancing. Red-Black Tree = Good performance with relatively simple implementation; maintains balance through coloring and rotations. Splay Tree = Adaptive to access patterns; frequently accessed nodes are quickly reachable at the cost of potential temporary imbalance.</p> Signup and view all the answers

When is it most appropriate to use a dictionary data structure?

<p>When the data needs to be accessed using a key (C)</p> Signup and view all the answers

In complex data structures, dictionaries cannot be nested within other data structures.

<p>False (B)</p> Signup and view all the answers

Describe an instance where one might utilize a dictionary in conjunction with a tree data structure.

<p>A dictionary could be employed to associate auxiliary data with nodes in a tree, enabling efficient metadata lookup for each node.</p> Signup and view all the answers

The time complexity of looking up a value in a dictionary is typically ______ on average, assuming a good hash function is used.

<p>O(1)</p> Signup and view all the answers

Match the operations commonly associated with dictionaries with the corresponding time complexities:

<p>Insertion = O(1) average, O(n) worst case Deletion = O(1) average, O(n) worst case Lookup = O(1) average, O(n) worst case</p> Signup and view all the answers

Flashcards

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

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?

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?

Move right child into Node's position. Move left child of Node's former right child to become the Node's new right child. Move Node to become the left-child of the Node's former right child.

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What are AVL Trees?

A balanced binary search tree, Named after Adelson-Velskii and Landis.

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Definition of an AVL tree

The sub-trees of every node differ in height by at most one, every sub-tree is also an AVL tree.

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What is a Balance Factor?

An attribute indicating if a tree is left-heavy, balanced or right-heavy; equal to the height difference of subtrees.

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What is a Red-Black Tree?

A binary search tree with one extra attribute for each node: the color, which is either red or black.

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What are the properties of Red-Black Trees?

Every node is either red or black, every leaf (NULL) is black. The root node is black. If a node is red, then both its children must be black. Every simple path from a root node to a descendant leaf contains the same number of black nodes.

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Define Splay Trees

Self-adjusting binary search trees that move accessed nodes to the root.

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What is the simplest approach to Splaying?

Rotate an accessed node all the way to the root using single rotations.

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What is a 'zig-zag' or 'zag-zig' Rotation in Splay Trees?

Double rotation where the accessed node is the 'inside' node of its parent.

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What is 'zig-zig' or 'zag-zag' in Splay Trees?

Involves 2 single rotations when the accessed node is an 'outside' node.

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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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