Learn and practice the Dynamic Programming pattern to solve coding interview problems.

Speedrun the Apple Coding Interview: Top Problems in Java

This module covers the most important problem-solving technique in the optimization domain: Dynamic Programming. In computer science, we often come across problems that have a well-defined structure, where the same subproblem is encountered and solved multiple times. Dynamic Programming allows us to compute once and reuse the solutions to recurring subproblems.

Optimization Techniques

Here's a quick summary of what we learned from the "Optimization Techniques" module.

Dynamic Programming

Conclusion

Final Remarks