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Target Sum

Linda Zhou edited this page Mar 31, 2023 · 3 revisions

Problem Highlights

1: U-nderstand

Understand what the interviewer is asking for by using test cases and questions about the problem.

  • Established a set (2-3) of test cases to verify their own solution later.
  • Established a set (1-2) of edge cases to verify their solution handles complexities.
  • Have fully understood the problem and have no clarifying questions.
  • Have you verified any Time/Space Constraints for this problem?

Run through a set of example cases:

2: M-atch

Match what this problem looks like to known categories of problems, e.g. Linked List or Dynamic Programming, and strategies or patterns in those categories.

3: P-lan

Plan the solution with appropriate visualizations and pseudocode.

General Idea:

1) 

⚠️ Common Mistakes

  • What are some common pitfalls students might have when implementing this solution?

4: I-mplement

Implement the code to solve the algorithm.

5: R-eview

Review the code by running specific example(s) and recording values (watchlist) of your code's variables along the way.

  • Trace through your code with an input to check for the expected output
  • Catch possible edge cases and off-by-one errors

6: E-valuate

Evaluate the performance of your algorithm and state any strong/weak or future potential work.

The complexity analysis based on how many elements there are in generateParenthesis(n).

  • Time Complexity:
  • Space Complexity:
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