9.9 Print matrix in zig-zag fashion, in Ruby.
9. Basic Matrix Algorithm Problems in Ruby
Full Course on Data Structures and Algorithms in Ruby
By: Chrysanthus Date Published: 16 May 2026
The reader is advised to read all the lessons (tutorials) in this full course, in the order presented.
Problem
Given a matrix of 2D array of n rows and m columns, print this matrix in ZIG-ZAG fashion as shown in the following figure:
Example 1:
Input: mat[][] = {{1, 2, 3}
{4, 5, 6}
{7, 8, 9}}
Output : 1, 2, 4, 7, 5, 3, 6, 8, 9
Example 2:
Input: mat[][] = {{1, 2, 3, 4, 5},
{6, 7, 8, 9, 10},
{11, 12, 13, 14, 15},
{16, 17, 18, 19, 20}};
Output : 1, 2, 6, 11, 7, 3, 4, 8, 12, 16, 17, 13, 9, 5, 10, 14, 18, 19, 15, 20
Solution in O(n x m) Time
The algorithm is as follows:
- Visit the top-left element first. Visit the next element on the right.
- Continue visiting the current minor diagonal elements in the left-downwards direction until meeting the left edge or bottom edge of the matrix.
- If the left edge of the matrix is met and not the bottom edge, visit the next element below.
- Continue visiting the current minor diagonal elements in the right-upwards direction until meeting the top edge or right edge of the matrix.
- If the bottom edge of the matrix was met, and not the left edge, then visit the next element on the right at the bottom edge.
- Continue visiting the current minor diagonal elements in the right-upwards direction until meeting the top edge or right edge of the matrix.
- If the top edge of the matrix is met and not the right edge, visit the next element on the right.
- Continue visiting the current minor diagonal elements in the left-downwards direction until meeting the left edge or bottom edge of the matrix.
- If the right edge of the matrix was met, and not the top edge, then visit the next element below.
- Continue visiting the current minor diagonal elements in the left-downwards direction until meeting the left edge or bottom edge of the matrix.
- Continue repeating the above steps accordingly, until the element at the bottom-right corner of the matrix is met, which will always be met, either from the left or from above.
- Do not forget to consider the cases, where the visit is at the four corners.
There are eight cases to consider: when the visit is at the four corners and when the visit is at the four edges. The case of what happens after the visit of the bottom-right element, does not have to be addressed. This gives rise to seven code segments in a major while-loop.
Indexes
The top most row of the matrix is identified by i=0.
The leftmost column of the matrix is identified by j=0.
The bottommost row of the matrix is identified by i=n-1.
The rightmost column of the matrix is identified by j=m-1.
The program
The program is (read through the code and comments):
def zig_zag_matrix(mat)
# Determine dimensions automatically
n = mat.length
m = mat[0].length
i = 0; j = 0
while i < n && j < m
if i == 0 && j == 0 #top-left corner
print mat[i][j].to_s + ", "
j += 1 #go right once
print mat[i][j].to_s + ", "
while j > 0 && i < n - 1 #end at left or bottom edge
i += 1
j -= 1 #go down and left
print mat[i][j].to_s + ", "
end
end
if j == 0 && i > 0 && i < n - 1 #left edge and not top or bottom ends
i += 1 #go down once
print mat[i][j].to_s + ", "
while i > 0 && j < m - 1 #end at top or right edge
i -= 1
j += 1 #go right and up
print mat[i][j].to_s + ", "
end
end
if i == 0 && j > 0 && j < m - 1 #top edge and not left or right ends
j += 1 #go right once
print mat[i][j].to_s + ", "
while j > 0 && i < n - 1 #end at left or bottom edge
i += 1
j -= 1 #go down and left
print mat[i][j].to_s + ", "
end
end
if i == n - 1 && j == 0 #left-bottom corner
j += 1 #go right once
print mat[i][j].to_s + ", "
while i > 0 && j < m - 1 #end at top or right edge
i -= 1
j += 1 #go right and up
print mat[i][j].to_s + ", "
end
end
if i == 0 && j == m - 1 #top-right corner
i += 1 #go down once
print mat[i][j].to_s + ", "
while j > 0 && i < n - 1 #end at left or bottom edge
i += 1
j -= 1 #go down and left
print mat[i][j].to_s + ", "
end
end
if i > 0 && i < n - 1 && j == m - 1 #right edge and not top or bottom ends
i += 1 #go down once
print mat[i][j].to_s + ", "
while j > 0 && i < n - 1 #end at left or bottom edge
i += 1
j -= 1 #go down and left
print mat[i][j].to_s + ", "
end
#bottom-right end of matrix
if i == n - 1 && j == m - 1
i += 1
j += 1 #increase i and j to stop the big while-loop
end
end
if j > 0 && j < m - 1 && i == n - 1 #bottom edge and not left or right ends
j += 1 #go right once
print mat[i][j].to_s + ", "
while i > 0 && j < m - 1 #end at top or right edge
i -= 1
j += 1 #go right and up
print mat[i][j].to_s + ", "
end
#bottom-right end of matrix
if i == n - 1 && j == m - 1
i += 1
j += 1 #increase i and j to stop the big while-loop
end
end
end
puts ""
end
# Main area
=begin
mat = [[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
zig_zag_matrix(mat)
=end
=begin
mat2 = [[1, 2, 3, 4, 5],
[6, 7, 8, 9, 10],
[11, 12, 13, 14, 15],
[16, 17, 18, 19, 20]]
zig_zag_matrix(mat2)
=end
Remove the first pair of the block comment markers (/* */). Make the first argument of the called function, "int mat[][3]". Run the program and the output should be:
1, 2, 4, 7, 5, 3, 6, 8, 9,
Put back the first pair of the block comment markers (/* */). Remove the second pair of the block comment markers (/* */). Make the first argument of the called function, "int mat[][5]". Run the program and the output should be:
1, 2, 6, 11, 7, 3, 4, 8, 12, 16, 17, 13, 9, 5, 10, 14, 18, 19, 15, 20,
The time complexity is actually O(2 n x m), with the first O(n x m) for populating the input matrix with all the elements, and the second O(n x m) for iterating over all the elements in the matrix in the called function. Since the coefficient (multiplicand of 2) is usually omitted, the time complexity is quoted as O(n x m).
The space complexity is O(n x m), for the input matrix, which is the same as the matrix in the called function (same reference).
Thanks for reading.
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