Final Remarks
Here’s a quick summary of what we learned from the “Fusion” module.
We'll cover the following
Congratulations! You have successfully completed the “Fusion” module.
Summary#
Information processing and decision-support problems in various domains, such as scheduling, social media applications, and I/O algorithms, require us to merge information coming from multiple sources. In this module, we learned how to use the Merge Intervals and K-way Merge patterns to solve problems where we need to merge lists of structurally homogeneous data. Using the Merge Intervals pattern, we learned to efficiently manipulate time interval data by leveraging the natural order of time data. Practice with the K-way Merge pattern has equipped us with the techniques needed to compute a global sorted order based on individually sorted streams and locate target data in individually sorted streams.
Additional resources#
If you’re looking for more challenges to solve using the patterns in this module, you can hone your skills on these problems:
Pattern Name | Problem Name |
Merge Intervals | |
Merge Intervals | |
K-way Merge | |
K-way Merge | |
K-way Merge |
What’s next?#
Now that we have gained hands-on experience with merging data from multiple sources, we will cover the use of depth-first and breadth-first traversals to solve problems featuring hierarchical data as well as the general backtracking algorithm for exhaustive search and also look at the algorithms to solve problems more efficiently in the next module, “Effective Decision making.”
Solution: Merge K Sorted Lists
Effective Decision-making