This is all about on efficiency of the program, the faster the better, something which python is bad at, so other languages are also accepted (in English that is)
The most basic way of doing this is by checking whether all numbers between 1 and p (the number we are gonna check whether prime or not) are not factors of p
This can be easily sped up by only checking numbers from $1$ to $\lfloor\sqrt{p}\rfloor$ as factors,
Also prime numbers after $2$ and $3$ come as $6n\pm1\ , \forall n ∈ I$ this too can be exploited
Are there are any more techniques to make this faster?
Make your own program and report the time it took for finding all prime numbers from $1$ to $1000000$ ( if faster than everyone else put up your program as well )
For python, if you want to calculate the time it takes for it do so, you will have to import the time module and use the function time
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$\textbf{No using inbuilt modules if any which contain prime numbers or which contain}$ $\textbf{all the numbers to 1000000 and operating Eratosthenes sieve on it}$
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Top NewestMy best is at 3.303286075592041 seconds using python
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@Anonymous1 Assassin Try this out
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@num IC If you want you could try this out, doesn’t involve ndimensional spheres and cubes this time lol
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i did it in bril env. only up to 100.000 and it took already 5 sec:
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There is this thing about python, you got to be careful of the slow processes, like the for i in p:, requires accessing each element of list p which takes a hell lot of time, maybe because of the way python only stores the address of each of its elements
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Does that last part mean we can't use the Sieve of Eratosthenes? Because generating a list of numbers from $1$ to $1000000$ and applying it takes only 800ms for me. :)
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Yes :), the sieve is not allowed because it’s the most powerful technique and getting better than that is almost impossible, no challenge at all then
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Rats. :)
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As a reference, this is one implementation of the Sieve of Eratosthenes (generally the fastest method, but against the rules of the discussion). Time to beat: 800ms
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great. even in bril env it is fast (i compared the checks til 100 000):
md6 3.5528910160064697 9592
all 3.5862386226654053 9592
siv 0.061120033264160156 9592
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I know this makes my job harder, but in the multiples in prime part, I think python does a linear search, so if it is changed to a binary search it can be made faster
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That's true.
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Although
primes
is a set, so isn't it just using the hash function to search?Log in to reply
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direct lookup.
I don't think it's quite a linear search for a set. It's aLog in to reply
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$O(1)$, never even thought it would exist (practically)
My first time I have seenLog in to reply
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i tried this n* 6 +/ but it takes a similar time:
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Yeah, that's to be expected. For small ranges of numbers it makes a big difference, but the larger the range, the less effective it will be.
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Um num, I think u missed a zero, it’s supposed to be one million not 100K
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yeah, i know. 1 mio in bril env creates a time out.
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At 100K mine runs at 0.144561767578125 seconds
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This is the code I used
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I am confused did they make the environment faster? It’s taking only 2.490349292755127 seconds in it
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i assume the bril env runtime depends on the other processes that run on your PC and/or on the web trafic.
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I checked the complexity of the programs and found out that the sieve is of $O(n)$ while mine is at $O(n^{1.2})$ and both of our programs are almost equally good at 2600, below mine is better, higher the sieve is way better
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The sieve should take about 100 seconds for $10^8$ while mine will take 1000 seconds or higher
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Red is the sieve and black is mine( I don’t know why but that thing looks like it wants to not go straight even in logarithm, looks like it might change to exponential time as I do higher numbers, but can’t wait that long)
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Updates : My Python app can’t handle $10^8$ using David’s program( immediate crash ), and also as expected my program is actually in exponential time(or maybe it’s just that the app can’t use that much of RAM?) Either way both of the programs have failed outside the scope of what they were asked to do
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i assume your number above is 100 mio (100.000.000).
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@num IC Didn’t include yours in this analysis because it was a little slow (if you want it to be done also just ask )
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no problem.
it's nice that you posted this challenge.
i learned a lot (eg i was not aware that using set is fast).
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@Percy Jackson Here’s a way to exercise those chubby fingers, try beating David’s time using JavaScript(if you have learnt enough python, and can make a program faster than mine, then go on and do that too)
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I don’t know anything about JavaScript, I assume it’s like Java with extras for better web page creations so forget the UI part and we have Java which should perfectly work
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I will try to make it, but JavaScript's better for web design, and that kind of stuff. It doesn't handle numbers too well, that's Python's job. JS is totally different from Java. Java has more of a C structure and syntax than JS.
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bruh
My fingers are not chubby.
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But … Pipes told they were?.!
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@Jason Gomez...I can't...JS isn't just cut out for this kinda number problem...I'm out.
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No probs, (this is anyway a dead discussion almost, the sieve can’t be defeated)
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lol yeah
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@Anonymous1 Assassin want to have a go at this(I see you have become recently active after quite a while), I’ll find out the complexity if you are able to make a program fast enough,if you want
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