Final Remarks

Congratulations! You have successfully completed the “Effective Decision making” module.

Summary#

In this module, we embarked on a journey to master essential problem-solving patterns. We started by exploring two key patterns: Backtracking and Subsets. These systematic and recursive approaches are our allies in tackling problems involving choices, permutations, and branching decisions. Backtracking enables us to navigate intricate decision trees, making it invaluable for problems with complex branching. Meanwhile, the Subsets pattern excels in generating power sets, unveiling all possible subsets of a given set or array. Next, we explored Dynamic Programming, which breaks down complex problems into smaller, overlapping subproblems, leading to efficient solutions. We acquired a deeper insight into DP, delving into its primary techniques—memoization and the bottom-up approach. These patterns allow us to systematically break down complex problems into more manageable subproblems, ultimately leading to efficient and optimal solutions.

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:

What’s next?#

Now that we have learned powerful optimization techniques and explored ways to effectively solve problems, we will learn how to use graphs, tries, custom data structures, and topological sort to solve a range of complex problems in the next module, “Advanced Data Structures and Sorting Techniques.”