How to resolve the algorithm Sum of a series step by step in the Kotlin programming language
How to resolve the algorithm Sum of a series step by step in the Kotlin programming language
Table of Contents
Problem Statement
Compute the nth term of a series, i.e. the sum of the n first terms of the corresponding sequence.
Informally this value, or its limit when n tends to infinity, is also called the sum of the series, thus the title of this task.
For this task, use:
This approximates the zeta function for S=2, whose exact value is the solution of the Basel problem.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Sum of a series step by step in the Kotlin programming language
Here's a detailed explanation of the Kotlin code:
-
The program calculates the sum of the series 1/1^2 + 1/2^2 + 1/3^2 + ... + 1/n^2, where n is a user-defined integer. The result is an approximation of the mathematical constant ζ(2) (zeta function evaluated at 2), which is known to be equal to π^2 / 6.
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The program defines a variable
n
with the value 1000. This value can be changed to adjust the number of terms in the sum. -
The sum is calculated using the
sumByDouble
function. This function takes a collection of numbers and applies a given lambda expression to each element, returning the sum of the results. In this case, the lambda expression1.0 / (it * it)
is used to calculate 1/n^2 for each value ofn
in the range 1 ton
. -
The result of the sum is stored in a variable called
sum
. -
The program prints the calculated sum to the console.
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Finally, the program prints the value of ζ(2) calculated using the mathematical formula, which is π^2 / 6.
By comparing the calculated sum with the exact value of ζ(2), you can observe how close the approximation is for the given number of terms in the series.
Source code in the kotlin programming language
// version 1.0.6
fun main(args: Array<String>) {
val n = 1000
val sum = (1..n).sumByDouble { 1.0 / (it * it) }
println("Actual sum is $sum")
println("zeta(2) is ${Math.PI * Math.PI / 6.0}")
}
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