Algorithms
Dynamic Programming
Visual guide to DP: solving problems by breaking into subproblems. Watch the DP table fill with optimal solutions.
Visual guide to DP: solving problems by breaking into subproblems. Watch the DP table fill with optimal solutions.
Understand optimal substructure and overlapping subproblems. Learn memoization vs tabulation and how to define DP states correctly.
Understand call stack mechanics, StackOverflowError prevention, and converting between recursive and iterative solutions. Covers memoization and trampolining patterns.