优化下列matlab代码:proj_k1 = (sum(sum(vij_k1 .* ys)))/sqrt(sum(sum(ys_square(:)))); proj_k2 = (sum(sum(vij_k2 .* ys)))/sqrt(sum(sum(ys_square(:)))); proj_k3 = (sum(sum(vij_k3 .* ys)))/sqrt(sum(sum(ys_square(:)))); proj_k4 = (sum(sum(vij_k4 .* ys)))/sqrt(sum(sum(ys_square(:)))); proj_k5 = (sum(sum(vij_k5 .* ys)))/sqrt(sum(sum(ys_square(:)))); proj_k6 = (sum(sum(vij_k6 .* ys)))/sqrt(sum(sum(ys_square(:)))); proj_k = [proj_k1,proj_k2,proj_k3,proj_k4,proj_k5,proj_k6]
时间: 2023-10-08 19:12:15 浏览: 39
可以使用循环来避免代码的重复,同时可使用 MATLAB 的向量计算来优化计算过程。优化后的代码如下:
```
V = {vij_k1, vij_k2, vij_k3, vij_k4, vij_k5, vij_k6};
proj_k = zeros(1, 6);
ys_square_sum = sum(sum(ys_square));
for i = 1:6
proj_k(i) = sum(sum(V{i} .* ys)) / sqrt(ys_square_sum);
end
```
这里我们将原始代码中的 proj_k1 到 proj_k6 合并为一个 proj_k 向量,并使用一个单独的 V 变量来存放 vij_k1 到 vij_k6。然后使用循环来遍历 V 变量,避免了代码的重复。同时,将 ys_square(:) 改为 ys_square,去除了不必要的操作。最后使用向量计算来对 proj_k 进行赋值,进一步优化了计算过程。