inner multiplication的意思|示意

美 / ˈinə ˌmʌltəplɪˈkeɪʃən / 英 / ˈɪnɚ ˌmʌltəplɪˈkeʃən /

内乘法


inner multiplication的用法详解

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Inner multiplication is a term commonly used in mathematics, specifically in linear algebra. It refers to the process of multiplying two vectors together to obtain a scalar value, which is also known as the dot product.

To calculate the dot product of two vectors, we multiply their corresponding components and then add up the individual products. For example, if we have two vectors:

a = [1, 2, 3]

b = [4, 5, 6]

To compute their dot product, we take the multiplication of their respective components and sum the products:

a · b = (1 × 4) + (2 × 5) + (3 × 6) = 32

The dot product can also be written in terms of the magnitudes and the cosine of the angle between the two vectors:

a · b = |a| |b| cosθ

where |a| and |b| are the magnitudes of vectors a and b, respectively, and θ is the angle between them.

Inner multiplication can be used in a variety of applications, including physics, engineering, and computer science. It is particularly useful in calculating the work done by a force on an object, as well as in solving systems of linear equations.

In summary, inner multiplication, also known as the dot product, is a mathematical operation that involves multiplying two vectors together to obtain a scalar value. It has widespread applications in various fields of study and can be computed using both the component-wise approach and the trigonometric formula.

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inner multiplication相关短语

1、 inner driving drum multiplication 内乘法

2、 inner product matrix multiplication 矩阵内积运算