[英]Vectorization Octave
I am struggling with some basic vectorization operations in Octave.我正在努力解决 Octave 中的一些基本矢量化操作。
Lets say I instantiate a 10*10 matrix A. A = magic(10)
I also instantiate a vector x.假设我实例化了一个 10*10 矩阵 A。A
A = magic(10)
我还实例化了一个向量 x。 x = [1; 2; 3; 4; 5; 6; 7; 8; 9; 10]
I want to use a vectorized operation, instead of for loops to fill in an empty vector e.我想使用向量化操作,而不是 for 循环来填充空向量 e。
e = zeros(10,1)
for i = 1:10
for j = 1:10
v(i) = v(i) + A(i, j) * x(j);
end
end
I have studied the the octave documentation chapter 19 about vectorization, and I believe that the only answer is v = A * x
.我研究了有关矢量化的 octave 文档第 19 章,我相信唯一的答案是
v = A * x
。 But I am unsure, whether other options exist to vectorize this loop.但我不确定是否存在其他选项来矢量化这个循环。
Using multiplication is the best option, but there are other options, for example:使用乘法是最好的选择,但还有其他选择,例如:
sum(A.*x.',2)
You often find such solutions when it comes to vectorizing loops like:当涉及到矢量化循环时,您经常会找到这样的解决方案,例如:
for i = 1:10
for j = 1:10
v(i) = v(i) + f(i,j);
end
end
The intermediate step is a matrix which holds all solutions for f(i,j) ( sum(A.*x.',2)
in your example), then you accumulate replacing the +
with a sum
.中间步骤是一个矩阵,其中包含 f(i,j) 的所有解决方案(在您的示例中为
sum(A.*x.',2)
),然后您累积将+
替换为sum
。
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