How to resolve the algorithm Vector products step by step in the Julia programming language

Published on 22 June 2024 08:30 PM

How to resolve the algorithm Vector products step by step in the Julia programming language

Table of Contents

Problem Statement

A vector is defined as having three dimensions as being represented by an ordered collection of three numbers:   (X, Y, Z). If you imagine a graph with the   x   and   y   axis being at right angles to each other and having a third,   z   axis coming out of the page, then a triplet of numbers,   (X, Y, Z)   would represent a point in the region,   and a vector from the origin to the point. Given the vectors: then the following common vector products are defined:

Given the three vectors:

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Vector products step by step in the Julia programming language

This Julia code snippet demonstrates various vector operations using the LinearAlgebra package. Here's a breakdown of what it does:

  1. Importing the LinearAlgebra Package:

    using LinearAlgebra

    This line imports the LinearAlgebra package, which provides functions for working with vectors and matrices.

  2. Defining Vectors:

    const a = [3, 4, 5]
    const b = [4, 3, 5]
    const c = [-5, -12, -13]

    Three constant vectors a, b, and c are defined as arrays of integers.

  3. Printing Test Vectors:

    println("Test Vectors:")
    @show a b c

    This code prints the defined vectors a, b, and c in a readable format. The @show macro is used to display the vectors in a structured way.

  4. Vector Products: After defining the vectors, the code performs various vector operations and prints the results:

    • a ⋅ b: This line computes the dot product between vectors a and b. The dot product results in a single scalar value, which is printed.

    • a × b: This line computes the cross product between vectors a and b. The cross product is a vector perpendicular to both a and b, and it is displayed.

    • a ⋅ (b × c): Here, the cross product of b and c is first computed, and then the dot product between a and the resulting vector is calculated. The result is a scalar value, which is printed.

    • a × (b × c): This line first computes the cross product between b and c, and then the cross product between a and the resulting vector. The output is a vector perpendicular to both a and b × c.

Source code in the julia programming language

using LinearAlgebra

const a = [3, 4, 5]
const b = [4, 3, 5]
const c = [-5, -12, -13]

println("Test Vectors:")
@show a b c

println("\nVector Products:")
@show a ⋅ b
@show a × b
@show a ⋅ (b × c)
@show a × (b × c)


  

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