Python中的逐元素张量乘法 [英] Element by element tensor multiplication in python

问题描述

我正在尝试使用python解决计算代数中的问题.

I am trying to solve a problem in computational algebra using python.

基本上给定两个集合，例如A={a,b}和B={e}，我需要按元素张量积计算元素，并得到包含这些元素乘积的最终集合，例如C={a\tensor{e},b\tensor{e}}.

Basically given two sets, say A={a,b} and B={e}, I need to compute the element by element tensor products and get a final set say C={a\tensor{e},b\tensor{e}} containing these products of elements.

我可以使用带有数字的数组来逐元素相乘，但是不能执行字母而不是数字的逐元素张量相乘.

I can do an element by element multiplication using arrays with numbers but I can't do an element by element tensor multiplication of letters instead of numbers.

推荐答案

不确定我是否正确理解，下面的代码将一个集合的每个字母与另一个集合的每个字母相乘

Not sure if I understood correctly, this below code multiplies each letter of one set with each letter of the the other set

def getProduct(A,B):
    prod=[]
    for a in A:
        for b in B:
           prod.append(a+b)
    return prod

A=['a','b']
B=['e']
print(getProduct(A,B))

Output: ['ae', 'be']

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