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Unordered Set
Type of set implemented using a hash table
Vertices
Represent objects in the graph data structure
Load Factor
Factor that measures how full a hash table is
Map
Data structure that stores elements as key-value pairs
Ordered Set
Type of set implemented using a binary search tree
Graph Data Structure
Collection of interconnected nodes
Directed Graph
Graph where each edge has a direction
Unweighted Graph
Graph in which all edges have equal weight
Hash Funcion
Mathematical function that produces a fixed-size output
Hashing
Process of converting a key into another value
Edges
Represent connection between graph objects
containsKey
Operation that checks if key exists in hash table
Tree Map
Map that stores elements in sorted order
Set
Data structure that stores unique elements
Chaining
Technique where multiple keys share one bucket using linked list
Tree-based Set
Set represented as binary search tree
Linked List Map
Structure to process configuration keys in order
Choosing a prime number table size
Minimizing clustering in division-based hash
Load factor exceeded threshold
Retrieval slows after many inserts
Undirected Graph
Graph showing mutual friendships
Hashmap
Best structure for frequently changing IDs
Linear Probing
Open addressing method for next available index
Queue becomes empty
BFS traversal visits all vertices when
Chaining
Collision-handling using linked list
Set
Track unique visitors
Collision
Different keys produce same index
Cyclic Graph
Road network with loops
Bipartite Graph
Students connected to courses
Weighted Graph
Calculate least costly route
Perform BFS across each disconnected component
Identify isolated users in graph
Use a prime-numbered table size
Avoid clustering in hashing
Load factor exceeds 0.85
Rehash the table to a larger size
Run BFS on each disconnected component
BFS visits only some nodes
Restore efficiency when collisions increase
Rehash the table to a larger size