After an insertion, if the AVL tree becomes unbalanced, a double rotation may be required to restore balance.

When a node becomes unbalanced after an insertion, a rotation (single or double) is performed to restore balance.

The 'shift' action in an LR parser moves the next input symbol onto the stack and transitions to a new state.

In BFS, the first node added to the queue is visited first, as BFS explores all neighbors at the present depth prior to moving on to nodes at the next depth level.

The middle index is calculated using low + (high - low) / 2 to avoid overflow.

If the target is less than the middle element, the next step is to search the left half of the array.

Typically, binary search returns -1 to indicate that the target value is not present in the array.

If the middle element is greater than the target, the search continues in the left half of the array.

After each comparison, the search space is halved, which is the key to its efficiency.

The middle index is calculated using (low + high) / 2.

The mid index is calculated to divide the array into two halves for further searching.

CIDR notation /16 indicates a subnet mask of 255.255.0.0, allowing for 65,536 possible addresses, typically associated with Class B networks.

CIDR notation /24 indicates that the first 24 bits of the subnet mask are set to 1, which corresponds to a subnet mask of 255.255.255.0.

A /22 subnet mask corresponds to 255.255.252.0, allowing for 1024 IP addresses in the subnet.

CIDR notation /24 corresponds to a subnet mask of 255.255.255.0, which allows for 256 addresses in the subnet.

A /24 subnet mask corresponds to 255.255.255.0, allowing for 256 IP addresses in the subnet.

The F1 Score is the harmonic mean of precision and recall, providing a balance between the two metrics.

The class label refers to the predicted output category in classification problems.

Precision measures the ratio of true positives to the total predicted positives, indicating the accuracy of positive predictions.

The F1 Score is the harmonic mean of precision and recall, providing a balance between the two metrics.

'Epsilon' defines the maximum distance between two points for them to be considered part of the same cluster in DBSCAN.

Gini impurity measures the impurity or disorder of a node, helping to determine the best split at each node.

DFS uses a stack (either explicitly or via recursion) to keep track of the vertices.

DFS uses a stack to keep track of the nodes to be explored, either explicitly or through recursion.

The maximum depth of recursion in DFS can go up to O(V) in the worst case, where V is the number of vertices.

DFS uses a Stack data structure, either explicitly or through recursion, to keep track of the nodes to be explored.

The next node to process in Dijkstra's algorithm is selected based on the lowest tentative distance, ensuring the shortest path is explored first.

In Dijkstra's algorithm, a vertex is added to the set of visited vertices when it has the smallest tentative distance from the source vertex.

A priority queue is used in Dijkstra's algorithm to efficiently retrieve the next node with the smallest tentative distance.

A priority queue is used in Dijkstra's algorithm to efficiently retrieve the vertex with the smallest distance.