9.3 Boundary Elements of a Matrix in R
9. Basic Matrix Algorithm Problems in R
Full Course on Data Structures and Algorithms in C
By: Chrysanthus Date Published: 3 Feb 2026
The reader is advised to read all the lessons (tutorials) in this full course, in the order presented.
Problem
Given a matrix mat[][] of size n × m, the task is to traverse the boundary elements in clockwise order, starting from the top-left element.
Example 1:
Input: mat[][] = [[1, 2, 3, 4],
[5, 6, 7, 8],
[1, 2, 3, 4],
[5, 6, 7, 9]]
Output: [1, 2, 3, 4, 8, 4, 9, 7, 6, 5, 1, 5]
Example 2:
Input: mat[][] = [[1, 2],
[3, 4]]
Output: [1, 2, 4, 3]
Do it in O(n + m) time and not O(n x m) time.
Solution in O(n + m) Time
Algorithm
- Traverse the top row from left to right, excluding the last element on the right.
- Traverse the rightmost column from top to bottom, excluding the last element at the bottom.
- Traverse the bottom row from right to left, excluding the first element on the left.
- Traverse the leftmost column from bottom to top, excluding the first element at the top.
Program in O(n+m) Time
The program is (read through the code and comments):
boundaryTraversal <- function(mat) {
# Determine dimensions automatically
n = nrow(mat);
m = ncol(mat);
# Traverse the top row
for (j in 1:m) {
cat(mat[1,j], ", ", sep="");
}
# Traverse the last column
for (i in 2:n) {
cat(mat[i, m], ", ", sep="");
}
# Traverse the bottom row
if (n > 2) { # Check to avoid duplicating row in single-row matrix
for (j in (m-1):2) {
cat(mat[n, j], ", ", sep="");
}
}
# Traverse the first column
if (m > 2) { # Check to avoid duplicating column in single-column matrix
for (i in n:2) {
cat(mat[i,1], ", ", sep="");
}
}
cat("\n");
}
# Main area
mat <- matrix(c(1, 2, 3, 4,
5, 6, 7, 8,
1, 2, 3, 4,
5, 6, 7, 9), nrow = 4, ncol = 4, byrow = TRUE)
boundaryTraversal(mat);
The output is:
1, 2, 3, 4, 8, 4, 9, 7, 6, 5, 1, 5,
as expected.
The time complexity is actually O(n+n + (m-1)+(m-1)) = O(2n + 2(m-2)). If the coefficients (multiplicands) of 2 are ignored, as it is customary, then the time complexity would be quoted as O(n + (m-2)). Note: -1, -2, +1, +2, etc. are usually ignored as well. So the time complexity is quoted as O(n+m).
The space complexity is O(n x m), for the input matrix. The matrix in the calling function and the called function are the same (same reference).
Related Links
More Related LinksCousins
BACK NEXTComments
Note: You can use the Search Box above to find articles and discussions of interest.