Getting Started

1] Define the Problem and validate the inputs

Input:

• Is it a single array? Or multiple arrays?
• Are there any constraints on the size of the array?
• Can the array contain negative numbers, floating-point numbers, or other data types?

Output:

• Is it a single value, an array, or something else?
• Are there any specific requirements or constraints on the output format?

Problem Constraints:

• Are there any time complexity requirements for the solution?
• Are there any space considerations for the solution?

Edge Cases:

• Should the algorithm handle edge cases such as
  • empty array?
  • arrays with only one element?
  • arrays with all identical elements?

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1. Understand the Problem:
   • Read and comprehend the problem statement.
2. Clarify Doubts:
   • Ask the interviewer for clarification if needed.
3. Ask Questions:
   • Gather more information about the problem.
4. Design a Plan:
   • Devise an approach to solve the problem.
5. Break Down the Problem:
   • Divide the problem into smaller subproblems if necessary.
6. Choose the Right Data Structures and Algorithms:
   • Select appropriate tools based on problem requirements.
7. Write Pseudocode:
   • Outline the solution logic without worrying about syntax.
8. Code Implementation:
   • Write the actual code following best practices.
9. Test Your Solution:
   • Verify correctness and robustness with test cases.
10. Optimize if Necessary:
    • Improve time or space complexity if possible.
11. Handle Errors and Edge Cases:
    • Ensure graceful handling of errors and edge cases.
12. Review and Debug:
    • Check for errors and bugs, and troubleshoot as needed.
13. Communicate Your Thought Process:
    • Explain your approach and reasoning to the interviewer.
14. Be Flexible and Adaptive:
    • Adapt your approach based on feedback or new insights.
15. Practice Regularly:
    • Improve problem-solving skills through practice and mock interviews.