
The task is to create a square matrix with dimensions n x n given a positive integer n. This matrix should be populated with the numbers from 1 to n^2. However, the unique requirement is that these numbers must be filled in a spiral order. Starting from the top-left corner, the numbers spiral inward towards the center in a clockwise fashion. This pattern presents an interesting challenge in matrix manipulation and iteration control as the matrix size grows with larger values of n.
Input:
Output:
Input:
Output:
1 <= n <= 20Initial Setup:
n x n. This can be achieved using list comprehensions or nested loops. Each cell is initially marked with some placeholder or unassigned.Navigation Setup:
Boundary and State Control:
Filling the Matrix:
[0][0]) and begin with moving right.1 to n^2, adjusting the position and direction based on the current state and boundaries.Completion Check:
n^2. At this point, each entry in the matrix from [0][0] to [n-1][n-1] will be filled as per the spiral rule.For n = 3:
[0][0], move right across the top row: Place 1, 2, 3.4, 5.[[1, 2, 3], [8, 9, 4], [7, 6, 5]].For n = 1:
[[1]].This approach ensures that we are constantly adjusting our boundaries and direction, effectively spiraling towards the center of the matrix. The constraints 1 <= n <= 20 are manageable with this method, ensuring all computations are contained within reasonable time and space complexity.
The problem solution provided involves generating a square matrix filled with numbers from 1 to n^2 in a spiral order, where n is specified by the size parameter of the fillMatrix function. Developed in C++, the code is structured within a Solution class.
Key insights of the implementation include:
Create a matrix with dimensions size x size, initialized with zeros.
Use a four-step loop to fill the matrix:
Each of these filling steps is bound by level, which ensures internal spirals are correctly populated as the matrix builds from the outer layers towards the center.
The function returns the populated matrix, making it easily accessible for verification or for further processing in other parts of your application. This approach effectively addresses the problem requirements while maintaining clarity and operational efficiency.
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