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This is fun
To put this to test, we created a simple Prime function, to determine if integer is a prime or not.
# sieve of sundaram sieve_of_sundaram <- function(limit) { n <- (limit - 1) %/% 2 sieve <- rep(TRUE, n + 1) for (i in 1:n) { j <- 1 while (i+j+2*i*j <= n) { sieve[i+j+2*i*j] <- FALSE j <- j + 1 } } primes <- c(2,(2*(1:n)+1)[sieve]) return(primes) } # is prime is_prime <- function(n) { if (n <= 1) return(FALSE) if (n <= 3) return(TRUE) if (n %% 2 == 0 || n %% 3 == 0) return(FALSE) i <- 5 while (i*i <= n) { if (n %% i == 0 || n %% (i + 2) == 0) return(FALSE) i <- i + 6 } return(TRUE) }
For fun, I am adding the famous Sieve of Sundaram algorithm for finding multiple primes in an array of integers.
For the next step, we find sum of all two primes for every even number as input; with other words, the Goldbach’s conjecture.
goldbach_conjecture <- function(even_num) { if (even_num <= 2 || even_num %% 2 != 0) { return("Number must be even and greater than 2.") } c <- NULL for (i in 2:(even_num / 2)) { if (is_prime(i) && is_prime(even_num - i)) { #cat("Goldbach's pairs for", even_num, "are:", i, "+", even_num - i, "\n") c <- cbind(c,i) # nof solutions } } return(length(c)) }
But not to end here, let’s put the Goldbach’s conjecture to test and see how the solutions are generated:
#make some 1000 solutions sol <- NULL for (i in seq(4,1000, by=2)){ nof_solutions <- goldbach_conjecture(i) sol <- rbind(sol, data.frame(n=i, nof=nof_solutions)) } # plot solutions; alternating solutions plot(sol$n, sol$nof, type = "p", xlab = "Even number", ylab = "Number of Solutions", main = "Goldbach's Conjecture") reg<-lm(nof ~ n, data = sol) abline(reg, col="red")
We see the “alternating” pattern of solutions for every even number between 4 and 1000 as sum of two primes.
And the distribution of prime frequencies is equally “interesting”
As always, code is available on Github in  Useless_R_function repository. The sample file in this repository is here (filename: Goldbach_conjecture.R) Check the repository for future updates.
Happy R-coding and stay healthy!
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