DSA · Theory

Add and Remove Vertex in Adjacency List Representation of Graph

Theory

805/810

Add and Remove Vertex in Adjacency List Representation of Graph

Add and Remove Vertex in Adjacency List Representation of Graph is a DSA topic. In plain words you use it for bus routes in a city map. Don’t start with a slogan — start with that picture.

Smallest example: BFS queue / DFS stack. Type it, run it, and say what you see. If you can do that from memory, you know Add and Remove Vertex in Adjacency List Representation of Graph.

From the example next to this theory: Add and Remove Vertex in Adjacency List Representation of Graph — graphs are often stored as adjacency lists: vertex → list of (neighbor, weight).

Trap — no visited set → infinite loop. Fix that before you talk about advanced DSA.

Viva: what is Add and Remove Vertex in Adjacency List Representation of Graph? Then show BFS queue / DFS stack. Then name the trap.

Exam tip

What is Add and Remove Vertex in Adjacency List Representation of Graph? Show this: BFS queue / DFS stack. Trap: no visited set → infinite loop.

Example

# adjacency list
graph = {
    "A": [("B", 2), ("C", 5)],
    "B": [("A", 2), ("C", 1)],
    "C": [("A", 5), ("B", 1)],
}
for u, edges in graph.items():
    print(u, "->", edges)

Add and Remove Vertex in Adjacency List Representation of Graph — graphs are often stored as adjacency lists: vertex → list of (neighbor, weight).

Short notes

DefAdd and Remove Vertex in Adjacency List Representation of Graph — bus routes in a city map.
RuleBFS queue / DFS stack
Trapno visited set → infinite loop
Usea city map

DSA · Theory

Add and Remove Vertex in Adjacency List Representation of Graph

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Theory

805/810

Add and Remove Vertex in Adjacency List Representation of Graph

Add and Remove Vertex in Adjacency List Representation of Graph is a DSA topic. In plain words you use it for bus routes in a city map. Don’t start with a slogan — start with that picture.

Smallest example: BFS queue / DFS stack. Type it, run it, and say what you see. If you can do that from memory, you know Add and Remove Vertex in Adjacency List Representation of Graph.

From the example next to this theory: Add and Remove Vertex in Adjacency List Representation of Graph — graphs are often stored as adjacency lists: vertex → list of (neighbor, weight).

Trap — no visited set → infinite loop. Fix that before you talk about advanced DSA.

Viva: what is Add and Remove Vertex in Adjacency List Representation of Graph? Then show BFS queue / DFS stack. Then name the trap.

Exam tip

What is Add and Remove Vertex in Adjacency List Representation of Graph? Show this: BFS queue / DFS stack. Trap: no visited set → infinite loop.

Example

# adjacency list
graph = {
    "A": [("B", 2), ("C", 5)],
    "B": [("A", 2), ("C", 1)],
    "C": [("A", 5), ("B", 1)],
}
for u, edges in graph.items():
    print(u, "->", edges)

Add and Remove Vertex in Adjacency List Representation of Graph — graphs are often stored as adjacency lists: vertex → list of (neighbor, weight).

Short notes

DefAdd and Remove Vertex in Adjacency List Representation of Graph — bus routes in a city map.
RuleBFS queue / DFS stack
Trapno visited set → infinite loop
Usea city map

Add and Remove Vertex in Adjacency List Representation of Graph

Example

Short notes

Questions

Add and Remove Vertex in Adjacency List Representation of Graph

Example

Short notes

Questions