matlab中的矩阵的顺序 [英] order making for a matrix in matlab
问题描述
我在一个矩阵上做一个模拟(假设一个5x5的矩阵)。这个矩阵的元素之一是已知的(下面的后面的方块;这个位置不会总是在中心),我想从该位置开始,并螺旋式访问其他元素(我已经显示了数量的订单)。如何在大矩阵(例如1000x1000)中定义此顺序?因为我不能手动,我正在寻找一个更具启发性的方式。
I am doing a simulation on a matrix (suppose a 5x5 matrix). One of the elements of this matrix is known (the back square in below; this location will not be always in center) and I want to start from that location and spirally visit the other elements (I have shown the orders in number). How I can define this order in a large matrix (e.g. 1000x1000)? Because I cannot do it manually and I am looking for a more heuristic way.
我在matlab中使用了bwdist ,然后对获得的矩阵排序,但结果不是我想要的结果。
I used bwdist in matlab and then sort the obtained matrix, but the results were not as what I want.
更好的解决方案吗?
推荐答案
当元素在中心时,只需使用 spiral
命令:
When element is in the center, just use the spiral
command:
>> spiral(5)
ans =
21 22 23 24 25
20 7 8 9 10
19 6 1 2 11
18 5 4 3 12
17 16 15 14 13
对于起点的任意位置,
For arbitrary position of the starting point we'll need to do something by hands
让我们利用这个奇特的 spiral
函数。要获得答案矩阵 A
,请制作更大的矩阵 M
,其中起点在中心。注意, A
和 M
中的元素的相对顺序是相同的。我们需要的是从 M
中获取 A
作为子矩阵,并以相同的顺序填充连续的元素数组:
Let's exploit this fancy spiral
function. To obtain the answer matrix A
, make the bigger matrix M
where the starting point is in the center. Note that relative order of the elements in A
and in M
is the same. All we need is to get A
as a submatrix from M
and fill it with continuous array of elements in the same order:
function A = spiral_generic(n, P)
% Makes NxN matrix filled up spirally starting with point P
r = max([P - 1, n - P]); % Radius of the bigger matrix
M = spiral(2 * r + 1); % Bigger matrix itself
C = r + 1 - (P - 1); % Top-left corner of A in M
A = M(C(1):C(1)+n-1, C(2):C(2)+n-1); % Get the submatrix
[~, order] = sort(A(:)); % Get elements' order
A(order) = 1:n^2; % Fill with continous values
end
以下是它的工作原理:
>> spiral_generic(5, [3 2])
ans =
17 18 19 20 21
7 8 9 10 22
6 1 2 11 23
5 4 3 12 24
16 15 14 13 25
>> spiral_generic(6, [2 5])
ans =
36 25 16 7 8 9
35 24 15 6 1 2
34 23 14 5 4 3
33 22 13 12 11 10
32 21 20 19 18 17
31 30 29 28 27 26
这不是最快的解决方案,因为它需要排序,因此需要 O(N ^ 2 logN)
code> O(N ^ 2)实现。但它是非常短,工作足够快的矩阵约1000x1000。
This is not the fastest solution since it requires sorting and thus takes O(N^2 logN)
time comparing to direct O(N^2)
implementation. But it is very short and works fast enough for matrices around 1000x1000.
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