Prerequisite: Linear Algebra | Defining a Vector

先決條件： 線性代數(shù)| 定義向量

Linear algebra is the branch of mathematics concerning linear equations by using vector spaces and through matrices. In other words, a vector is a matrix in n-dimensional space with only one column. In the sequence of learning linear algebra using python, this is article 4. In some of the problems, we need to use a particular component of the vector.

線性代數(shù)是使用向量空間和矩陣的線性方程組的數(shù)學(xué)分支。 換句話說，向量是n維空間中只有一列的矩陣。 在使用python學(xué)習(xí)線性代數(shù)的過程中，這是第4條。在某些問題中，我們需要使用向量的特定分量。

For example: Let a vector a = [4, 9, 7], this is a 3 dimensional vector (x,y and z)

例如：令向量a = [4、9、7]，這是3維向量(x，y和z)

So, if we need to call the y^th component of the vector, we are talking about the corresponding value 9.?

因此，如果我們需要調(diào)用向量的^第 y ^個分量，我們正在討論的是對應(yīng)的值9。

In the python code, we will first define a vector and then we will call its 4^th component.

在python代碼中，我們將首先定義一個向量，然后將其稱為第4 ^個組件。

用于調(diào)用向量的^第 i維分量的Python代碼 (Python code for calling i^th dimensional Component of Vector )

# Vectors in Linear Algebra a = [3, 5, -5, 8]print("Vector a = ", a) # This is a 4-dimensional vectori = int(input("type dimensional component you want to know: ")) print("Vector's", i," dimensional component = ", a[i-1])

Output

輸出量

Vector a = [3, 5, -5, 8] type dimensional component you want to know: 4 Vector's 4 dimensional component = 8

翻譯自: https://www.includehelp.com/python/calling-ith-dimensional-component-of-vector.aspx

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