Python 染色算法转换为 MATLAB 代码

function result = dyeing(nodes, edge, matrix) [row, column] = edge;

% 复制节点列表并删除当前边所连接的节点 % 在 MATLAB 中，nodes_copy 是一个矩阵，因此使用索引操作删除节点 nodes_copy = nodes; nodes_copy([row,column]) = [];

% 使用 nchoosek 函数生成节点组合 node_com = nchoosek(nodes_copy, 2);

% 初始化统计变量 same_white = 0; same_black = 0;

% 遍历每个节点组合 for i = 1:size(node_com,1) node1 = node_com(i,1); node2 = node_com(i,2);

% 获取子图的边信息

sub_edges = [matrix(node1,node2), matrix(node1,row), matrix(node1,column), matrix(node2,row), matrix(node2,column)];

% 统计边类型数量
raw = sum(sub_edges == 0);
black = sum(sub_edges == -1);
white = sum(sub_edges == 1);

% 根据边类型计算概率
if (white > 0) && (black > 0)
    continue
elseif (white > 0) && (black == 0)
    same_white = same_white + (1 / (2 ^ (raw + 1)));
elseif (black > 0) && (white == 0)
    same_black = same_black + (1 / (2 ^ (raw + 1)));
elseif (white == 0) && (black == 0)
    same_black = same_black + (1 / (2 ^ 6));
    same_white = same_white + (1 / (2 ^ 6));
end

end

% 根据概率选择颜色 if same_white > same_black result = 1; % 白色 else result = 2; % 黑色 end end