How to resolve the algorithm Magic constant step by step in the Julia programming language
How to resolve the algorithm Magic constant step by step in the Julia programming language
Table of Contents
Problem Statement
A magic square is a square grid containing consecutive integers from 1 to N², arranged so that every row, column and diagonal adds up to the same number. That number is a constant. There is no way to create a valid N x N magic square that does not sum to the associated constant. A 3 x 3 magic square always sums to 15. A 4 x 4 magic square always sums to 34. Traditionally, the sequence leaves off terms for n = 0 and n = 1 as the magic squares of order 0 and 1 are trivial; and a term for n = 2 because it is impossible to form a magic square of order 2.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Magic constant step by step in the Julia programming language
This code demonstrates a few concepts:
-
Using the
Lazy
package: This package provides lazy evaluation, which means that values are computed only when needed. This enables efficient handling of infinite sequences. -
Defining a function
magic
: It calculates a sequence of numbers using a mathematical expression. -
Creating a
Lazy
sequencemagics
: Using@>>
to create a lazy sequence, which applies themagic
function to a range of inputs. The resulting sequence is lazy, meaning it's not computed until it's actually used. -
Filtering the sequence
magics
: Using thefilter
function to remove values less than 10 from the lazy sequencemagics
. -
Printing the first 20 elements of the filtered sequence
magics
: Usingtake
to obtain the first 20 values and converting them to integers (Int
) for printing. -
Getting the thousandth element of the filtered sequence
magics
: Usingcollect
to materialize the thousandth element of the lazy sequence and then accessing the last element of the resulting array. -
Finding the smallest magic square with a magic constant greater than a given value:
for expo in 1:20
iterates through a range of exponents (1 to 20).goal = big"10"^expo
sets the target magic constant as a big number using thebig
literal.ordr = Int(floor((2 * goal)^(1/3))) + 1
calculates the order of the magic square required to achieve the desired magic constant. This formula is based on the mathematical property of magic squares.println
prints the exponent and the corresponding order of the magic square.
This code showcases the efficiency and power of lazy evaluation in handling infinite sequences, filtering out unwanted values, and performing mathematical calculations. It demonstrates how to use the Lazy
package to create lazy sequences and manipulate them effectively in Julia.
Source code in the julia programming language
using Lazy
magic(x) = (1 + x^2) * x ÷ 2
magics = @>> Lazy.range() map(magic) filter(x -> x > 10) # first 2 values are filtered out
println("First 20 magic constants: ", Int.(take(20, magics)))
println("Thousandth magic constant is: ", collect(take(1000, magics))[end])
println("Smallest magic square with constant greater than:")
for expo in 1:20
goal = big"10"^expo
ordr = Int(floor((2 * goal)^(1/3))) + 1
println("10^", string(expo, pad=2), " ", ordr)
end
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