Learn and practice the Merge Intervals and K-way Merge patterns to solve coding interview problems.

Educative-77 in C++: Accelerate Your Coding Interview Prep

Many information processing and decision-support problems require us to merge information coming from multiple sources to build up a global picture of a situation before making some business decisions. This module will help us understand and deploy two common coding patterns used to merge lists of structurally homogeneous data to solve hard problems that we encounter, for example, in scheduling, social media applications, and I/O algorithms.

Fusion

# Statement

Given an array of $k$ sorted linked lists, your task is to merge them into a single sorted linked list and return the head of this linked list.

**Constraints:**
- $k =$ `lists.length`
- $0 \leq k \leq 10^3$
- $0 \leq$ `lists[i].length` $\leq 500$
- $-10^3 \leq$ `lists[i][j]` $\leq 10^3$
- Each `lists[i]` is sorted in ascending order.
- The sum of all `lists[i].length` will not exceed $10^3$.

# Example


Try to solve the Merge K Sorted Lists problem.

Merge Intervals

K-way Merge

Conclusion

Merge K Sorted Lists

Statement