Learn and practice the Bitwise Manipulation, Sliding Window, and Union Find patterns to solve coding interview problems.

Educative-77 in Python: Accelerate Your Coding Interview Prep

Each of the patterns in this module exemplifies the power of dissecting a problem in detail and figuring out the least expensive operations required to solve it. In the Bitwise Manipulation pattern, we’ll learn to leverage the power of bit-level operators to deliver more efficient solutions. With the Sliding Window pattern, we’ll gain practice in various techniques to ensure that a solution that seems to require nested loops actually executes in linear time. Using the Union Find pattern, we’ll learn to solve a diverse set of problems using the disjoint-set data structure.

Elegant by Design

# Statement

We're given an undirected graph consisting of $n$ nodes. The graph is represented as list called `edges`, of length $n$, where `edges[i] = [a, b]` indicates that there is an edge between nodes `a` and `b` in the graph.

Return an edge that can be removed to make the graph a #key# tree: A tree is an undirected graph that is connected and has no cycles. #key# of $n$ nodes. If there are multiple candidates for removal, return the edge that occurs last in `edges`.

**Constraints**:

- $3 \leq$ $n$ $\leq 100$
-  `edges.length`$=$ $n$ 
- `edges[i].length` $=$ 2
- $1 \leq$ `a` $<$ `b` $\leq n$ 
- $a \neq b$
- There are no repeated edges.
- The given graph is connected.
- The graph contains only one cycle.

# Example

Try to solve the Redundant Connection problem.

Bitwise Manipulation

Sliding Window

Union Find

Conclusion

Redundant Connection

Statement