Pascal's triangle is a classic example of a problem that can be elegantly solved using a dynamic programming approach. Each entry in Pascal's triangle is the sum of the two entries directly above it, with the exception of the edges of the triangle, which are always 1. This problem requires an understanding of how to construct each row based on the previous one, recognizing that the first and last elements of each row are always 1, and intermediate elements are sums of two adjacent elements from the preceding row.
The algorithm starts by handling the base case of numRows == 0
. For all other cases, it initializes the triangle with the first row [1]
. The approach then iteratively constructs each subsequent row of Pascal's triangle based on the following rules:
- Initialization of Each Row: Each row starts with a
1
. - Intermediate Values: Each intermediate value in a row is computed as the sum of the two numbers directly above it in the triangle. This is achieved by adding the elements at the same position and the position before it in the previous row.
- Finalizing Each Row: Each row ends with a
1
. After computing the intermediate values, a1
is appended to the row to complete it. - Building the Triangle: Each completed row is added to the triangle, gradually building up Pascal's triangle row by row until the desired numRows is reached.
Time Complexity:
My solution beats 97-percent of Python submissions' runtime.
def generate(self, numRows: int) -> List[List[int]]:
if numRows == 0:
return []
# Initialize the triangle with the first row
triangle = [[1]]
for row_num in range(1, numRows):
# Start the row with 1
row = [1]
# Calculate the intermediate values of the row
for i in range(1, row_num):
row.append(triangle[row_num - 1][i - 1] + triangle[row_num - 1][i])
# End the row with 1
row.append(1)
# Add the completed row to the triangle
triangle.append(row)
return triangle