Generate Parentheses

To solve this coding challenge, we need to generate all combinations of well-formed parentheses given
n
pairs of parentheses. A combination of well-formed parentheses means that each opening parenthesis '(' has a corresponding closing parenthesis ')' and they are arranged correctly. This is a typical backtracking problem where we will build the combinations incrementally and backtrack when the current combination is invalid.

Explanation

The primary constraint is we need balanced parentheses, meaning each opening parenthesis must have a closing one and the count of closing parentheses should never exceed the count of opening ones at any point in the string. In this solution, we employ a recursive backtracking method:
  1. We use a recursive helper function
    backtrack()
    that takes current string
    curr
    , the number of open parentheses
    open_count
    , and the number of close parentheses
    close_count
    as parameters.
  2. The base case of this recursion is when the length of the current string `curr` is `2 n
    (since we have
    n
    pairs of parentheses, so the total length should be
    2
    n`).
  3. If the number of open parentheses is less than
    n
    , we add an open parenthesis and recursively call
    backtrack()
    .
  4. If the number of close parentheses is less than the number of open parentheses, we add a close parenthesis and recursively call
    backtrack()
    .
  5. Detailed Steps in Pseudocode:
  6. Initialize an empty list
    result
    to store the final combinations.
  7. Define a recursive function
    backtrack()
    :
    • If the length of `curr` is `2 n`, append `curr` to `result` and return. * If
      open_count
      is less than
      n
      , add an opening parenthesis and call
      backtrack()
      with incremented
      open_count
      .
      * If
      close_count
      is less than
      open_count
      , add a closing parenthesis and call
      backtrack()
      with incremented
      close_count
      .
  8. Start the recursive process by calling
    backtrack(result, "", 0, 0)
    .
  9. Pseudocode

                                                
    # Initialize the primary function to generate parentheses
    function generateParenthesis(n):
    # Initialize a list to hold the combinations
    result = []
    
    # Define the backtracking function to build valid combinations
    function backtrack(result, curr, open_count, close_count):
    # Base case: if the current combination length is 2 * n, it's complete
    if length(curr) == 2 * n:
    # Append the current combination to the result list
    append result with curr
    return
    
    # If more open parentheses can be added
    if open_count < n:
    # Add an open parenthesis and recursively call backtrack
    backtrack(result, concatenate(curr, '('), open_count + 1, close_count)
    
    # If adding a close parenthesis still maintains a valid combination
    if close_count < open_count:
    # Add a close parenthesis and recursively call backtrack
    backtrack(result, concatenate(curr, ')'), open_count, close_count + 1)
    
    # Start the backtracking with an empty string and counts set to zero
    backtrack(result, "", 0, 0)
    
    # Return the list of valid combinations
    return result
    
    # Example usage
    output1 = generateParenthesis(3)
    # Expected: ["((()))","(()())","(())()","()(())","()()()"]
    
    output2 = generateParenthesis(1)
    # Expected: ["()"]
    
                                            

    Detailed Steps in Pseudocode

  10. Initialization :
    • Create the function
      generateParenthesis
      that accepts an integer
      n
      .
    • Inside this function, initialize an empty list
      result
      to store valid combinations of parentheses.
  11. Defining Backtracking Function :
    • Define an inner function
      backtrack
      that takes four parameters: the result list
      result
      , the current string being built
      curr
      , the number of open parentheses added so far
      open_count
      , and the number of close parentheses added so far
      close_count
      .
  12. Base Case in Recursion :
    • Within
      backtrack
      , check if the length of the current string
      curr
      is
      2 * n
      . If true, it means the current string is a complete valid combination. Append this string to
      result
      and return.
  13. Recursive Calls for Opening Parentheses :
    • Check if the
      open_count
      is less than
      n
      . If true, it means we can add more opening parentheses. Call
      backtrack
      recursively with
      curr
      concatenated with '(',
      open_count + 1
      , and
      close_count
      .
  14. Recursive Calls for Closing Parentheses :
    • Check if the
      close_count
      is less than
      open_count
      . If true, it means we can add a closing parenthesis while still maintaining the validity of the combination. Call
      backtrack
      recursively with
      curr
      concatenated with ')',
      open_count
      , and
      close_count + 1
      .
  15. Starting the Recursion :
    • Start the backtracking process by calling
      backtrack(result, "", 0, 0)
      from within the
      generateParenthesis
      function. This initializes the recursion with an empty string and zero counts for both open and close parentheses.
  16. Returning the Result :
    • Finally, return the
      result
      list which contains all the valid combinations of well-formed parentheses.
This pseudocode and explanation provide a detailed step-by-step guide to solving the problem of generating all combinations of well-formed parentheses using a recursive backtracking approach.