4.3. Red-Black Trees
This section discusses a type of balanced binary search trees called Red-Black Trees.
Last updated
This section discusses a type of balanced binary search trees called Red-Black Trees.
Last updated
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Red-Black trees preserve the balance at most time by satisfying the following conditions:
Every node is either red or black.
The root and all leaves (null
) are black.
Every red node must have two black children.
Every path from a given node to any of its leaves goes through the same number of black nodes.
Let us create the RedBlackNode
class inheriting AbstractBinaryNode
:
L2
: if is_red
is true
, the color of this node is red; otherwise, it is black.
L6
: the color of the node is black by default upon instantiation.
Let us the RedBlackTree
class inheriting AbstractBalancedBinarySearchTree
:
Finally, let us override balance()
method that handles 3 cases:
L3
: sets the color to black if node
is the root.
L5
: if the color of node
's parent is red:
L8
: checks if the color of node
's uncle is also red.
L10
: the color of node
's uncle is black.
What about the case when the color of
node
's parent is black?
The following shows a method that handles when both the parent and the uncle are red:
Are there any structural changes after this method is called?
The following shows a method that handles when the parent is red but the uncle is black:
L7
: the case of left zig-zag.
L11
: the case of right zig-zag.
L19
: the case of left linear.
L21
: the case of right linear.
The followings demonstrate how the balance()
method works in Red-Black trees:
How does a Red-Black tree know when it is unbalanced?