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