Is there a formula for calculating partitions with restrictions?

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The discussion centers around the difficulty of calculating the number of partitions p(N,K,L), which represents the partitions of N into no more than K parts not exceeding L. While various algorithms can be developed to compute this value, they tend to struggle with larger parameters, leading to inefficiencies and deep recursion issues. Participants express skepticism about the existence of a simple formula for p(N,K,L), suggesting that it may not exist. Instead, they propose that generating functions might be a more feasible approach. Ultimately, the consensus is that while algorithms can be created, a straightforward formula remains elusive.
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After long and careful search on the web and in literature,
I could not find the solution of the following problem.

I need calculate p(N,K,L) - the number of partitions of N into
no more than K parts not exceeding L.

Example: N = 7, K = 4, L = 5

1) 2+5
2) 3+4
3) 1+1+5
4) 1+2+4
5) 1+3+3
6) 2+2+3
7) 1+1+1+4
8) 1+1+2+3
9) 1+2+2+2

So, here is p(7,4,5)=9

I found the different formulas for the partitions with different restrictions,
but not both for quantity and size of parts.
May be I was bad looking, but might be the solution has not yet been found?

Of course, it is not a problem to write search algorithms, to solve this problem,
as in Pascal:

*********************************************************************

var K,L,M,i,i1,i2,itog:longint; b:real;
Code:integer;

procedure Box(pr:longint;ostatok:longint;nbox:longint);
var j1,j2,j:longint;
a: real;
begin
a:=ostatok/nbox;
if frac(a)>0
then j1:=trunc(a)+1
else j1:=trunc(a);
if pr>ostatok then j2:=ostatok else j2:= pr;
for j:=j1 to j2 do
if nbox>1 then Box(j,ostatok-j,nbox-1) else itog:=itog+1
end;

begin

val(ParamStr(1),K,Code);
val(ParamStr(2),L,Code);
val(ParamStr(3),M,Code);
{
writeln(K);
writeln(L);
writeln(M);
}
itog:=0;
If L*M<K Then writeln('It is impossible')
Else
begin
If M>K Then i2:=K Else i2:=M;
b:=K/L;
If frac(b)>0 Then i1:=trunc(b)+1 Else i1:=trunc(b);

For i:=i1 to i2 do Box(i,K-i,L-1)

end;
writeln (Itog)
end.

**********************************************************

but it bogged down with a slight increase of parameters.
Roughly speaking, if the value of parameters begins to run into the hundreds,
then modern computer begins to squeak.

Is there some "nice" formula to calculate p(N,K,L) ?
 
Last edited:
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Nobody knows, but it seems unlikely that a formula exists.
 
Not really answering your question, but a generating function should not be very hard to find.

Also, check out http://www.btinternet.com/~se16/js/partitionstest.htm if you haven't done that already.
 
Last edited by a moderator:
The question was if there is a "nice" formula, not a "nice" algorithm. The formula, for now, isn't discovered, maybe it doesn't exists, but the algorithm to calculate p(n,l,k) is easy to make.
 
Easy-to-make algorithms will go into deep-deep recursion, so it is not easy to make really fast one.
For example, shown code in Pascal will fall even on low parameters like p(200,20,20).
After some thinking I wrote algorithm which gives result in suitable time for p(125000,500,500).
It uses arbitrary length integer arithmetics and gives result of near thousand bits.
But I need about p(millions,thousands,thousands) job.
 
In this case the problem is a P problem in information theory, in other words the time to calculate p(n,l,k) is Polynomial, so it will spend more time to calculate p(millions,thousands,thousands). Only a formula will give you a gift, but it is not discovered yet, and maybe it's likely that it doesn't exist.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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