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Finding the linear functions defining a polyhedron through integer data?


Working with absolute values in constraint in a LP or MILPProve that these linear programming problems are bounded by $O(k^1/2)$Formulation of a constraint in a MIP for an element in different SetsGenerating all extreme raysLinear and Integer programming materialsTrouble with scheduling problem assumptionsShould I factor in time as a parameter or a variable in a scheduling problem with MILP?A heuristic approach to solve a MILP problem?MIP: If integer variable $>0$ it should be equal to other integer variables $>0$













9















$begingroup$


Let's say I have a bunch of linear functions $f_1,cdots,f_n$ in $k$ variables; then $f_1,cdots, f_nle0$ defines a polyhedron $P$ in the $k$-dimensional space.



What I'm looking for is going the other way: given data points inside a polyhedron $P$, is there an efficient/fast way to find the functions $f_1,cdots,f_n$ cutting the polyhedron? Those data points are finitely many integer points (i.e. points whose all coordinates are integers) and $P$ is "the smallest" polyhedron containing them. Basically I require two things:



  1. $P$ does not contain any other integer points.


  2. The linear functions themselves have integer coefficients.


A naive way would be to loop over all possible candidate functions (their integer coefficients) in a certain range but there should be a much better/faster/efficient way of doing it.



I am not specifically looking for an answer to this problem, rather a reference or direction for where I should be looking at. Has this been studied at all? I understand that this is not exactly what linear/integer programming is about, so apologies if the question is not appropriate for this site.










share|improve this question











$endgroup$














  • $begingroup$
    It might be pretty hard to ensure that $mathbfP$ contains no other integer points. Consider for example the data points $(1,1),(3,1),(1,3),(3,3)$ with the description $mathbfP=xinmathbbR^2:1leq x_1leq 3, 1leq x_2leq 3$. Here the point $(2,2,)$ is contained in $mathbfP$ but not in the list of data points.
    $endgroup$
    – Sune
    Oct 2 at 8:33











  • $begingroup$
    @Sune My data points are generated through a process that can guarantee I have them all. I am effectively trying to find patterns in that process, that for reasons I won't get to now, I am almost certain will be linear in nature.
    $endgroup$
    – user12005284
    Oct 2 at 14:55















9















$begingroup$


Let's say I have a bunch of linear functions $f_1,cdots,f_n$ in $k$ variables; then $f_1,cdots, f_nle0$ defines a polyhedron $P$ in the $k$-dimensional space.



What I'm looking for is going the other way: given data points inside a polyhedron $P$, is there an efficient/fast way to find the functions $f_1,cdots,f_n$ cutting the polyhedron? Those data points are finitely many integer points (i.e. points whose all coordinates are integers) and $P$ is "the smallest" polyhedron containing them. Basically I require two things:



  1. $P$ does not contain any other integer points.


  2. The linear functions themselves have integer coefficients.


A naive way would be to loop over all possible candidate functions (their integer coefficients) in a certain range but there should be a much better/faster/efficient way of doing it.



I am not specifically looking for an answer to this problem, rather a reference or direction for where I should be looking at. Has this been studied at all? I understand that this is not exactly what linear/integer programming is about, so apologies if the question is not appropriate for this site.










share|improve this question











$endgroup$














  • $begingroup$
    It might be pretty hard to ensure that $mathbfP$ contains no other integer points. Consider for example the data points $(1,1),(3,1),(1,3),(3,3)$ with the description $mathbfP=xinmathbbR^2:1leq x_1leq 3, 1leq x_2leq 3$. Here the point $(2,2,)$ is contained in $mathbfP$ but not in the list of data points.
    $endgroup$
    – Sune
    Oct 2 at 8:33











  • $begingroup$
    @Sune My data points are generated through a process that can guarantee I have them all. I am effectively trying to find patterns in that process, that for reasons I won't get to now, I am almost certain will be linear in nature.
    $endgroup$
    – user12005284
    Oct 2 at 14:55













9













9









9


1



$begingroup$


Let's say I have a bunch of linear functions $f_1,cdots,f_n$ in $k$ variables; then $f_1,cdots, f_nle0$ defines a polyhedron $P$ in the $k$-dimensional space.



What I'm looking for is going the other way: given data points inside a polyhedron $P$, is there an efficient/fast way to find the functions $f_1,cdots,f_n$ cutting the polyhedron? Those data points are finitely many integer points (i.e. points whose all coordinates are integers) and $P$ is "the smallest" polyhedron containing them. Basically I require two things:



  1. $P$ does not contain any other integer points.


  2. The linear functions themselves have integer coefficients.


A naive way would be to loop over all possible candidate functions (their integer coefficients) in a certain range but there should be a much better/faster/efficient way of doing it.



I am not specifically looking for an answer to this problem, rather a reference or direction for where I should be looking at. Has this been studied at all? I understand that this is not exactly what linear/integer programming is about, so apologies if the question is not appropriate for this site.










share|improve this question











$endgroup$




Let's say I have a bunch of linear functions $f_1,cdots,f_n$ in $k$ variables; then $f_1,cdots, f_nle0$ defines a polyhedron $P$ in the $k$-dimensional space.



What I'm looking for is going the other way: given data points inside a polyhedron $P$, is there an efficient/fast way to find the functions $f_1,cdots,f_n$ cutting the polyhedron? Those data points are finitely many integer points (i.e. points whose all coordinates are integers) and $P$ is "the smallest" polyhedron containing them. Basically I require two things:



  1. $P$ does not contain any other integer points.


  2. The linear functions themselves have integer coefficients.


A naive way would be to loop over all possible candidate functions (their integer coefficients) in a certain range but there should be a much better/faster/efficient way of doing it.



I am not specifically looking for an answer to this problem, rather a reference or direction for where I should be looking at. Has this been studied at all? I understand that this is not exactly what linear/integer programming is about, so apologies if the question is not appropriate for this site.







linear-programming reference-request integer-programming polyhedra






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Oct 4 at 0:23









LarrySnyder610

8,68116 silver badges72 bronze badges




8,68116 silver badges72 bronze badges










asked Oct 2 at 4:13









user12005284user12005284

934 bronze badges




934 bronze badges














  • $begingroup$
    It might be pretty hard to ensure that $mathbfP$ contains no other integer points. Consider for example the data points $(1,1),(3,1),(1,3),(3,3)$ with the description $mathbfP=xinmathbbR^2:1leq x_1leq 3, 1leq x_2leq 3$. Here the point $(2,2,)$ is contained in $mathbfP$ but not in the list of data points.
    $endgroup$
    – Sune
    Oct 2 at 8:33











  • $begingroup$
    @Sune My data points are generated through a process that can guarantee I have them all. I am effectively trying to find patterns in that process, that for reasons I won't get to now, I am almost certain will be linear in nature.
    $endgroup$
    – user12005284
    Oct 2 at 14:55
















  • $begingroup$
    It might be pretty hard to ensure that $mathbfP$ contains no other integer points. Consider for example the data points $(1,1),(3,1),(1,3),(3,3)$ with the description $mathbfP=xinmathbbR^2:1leq x_1leq 3, 1leq x_2leq 3$. Here the point $(2,2,)$ is contained in $mathbfP$ but not in the list of data points.
    $endgroup$
    – Sune
    Oct 2 at 8:33











  • $begingroup$
    @Sune My data points are generated through a process that can guarantee I have them all. I am effectively trying to find patterns in that process, that for reasons I won't get to now, I am almost certain will be linear in nature.
    $endgroup$
    – user12005284
    Oct 2 at 14:55















$begingroup$
It might be pretty hard to ensure that $mathbfP$ contains no other integer points. Consider for example the data points $(1,1),(3,1),(1,3),(3,3)$ with the description $mathbfP=xinmathbbR^2:1leq x_1leq 3, 1leq x_2leq 3$. Here the point $(2,2,)$ is contained in $mathbfP$ but not in the list of data points.
$endgroup$
– Sune
Oct 2 at 8:33





$begingroup$
It might be pretty hard to ensure that $mathbfP$ contains no other integer points. Consider for example the data points $(1,1),(3,1),(1,3),(3,3)$ with the description $mathbfP=xinmathbbR^2:1leq x_1leq 3, 1leq x_2leq 3$. Here the point $(2,2,)$ is contained in $mathbfP$ but not in the list of data points.
$endgroup$
– Sune
Oct 2 at 8:33













$begingroup$
@Sune My data points are generated through a process that can guarantee I have them all. I am effectively trying to find patterns in that process, that for reasons I won't get to now, I am almost certain will be linear in nature.
$endgroup$
– user12005284
Oct 2 at 14:55




$begingroup$
@Sune My data points are generated through a process that can guarantee I have them all. I am effectively trying to find patterns in that process, that for reasons I won't get to now, I am almost certain will be linear in nature.
$endgroup$
– user12005284
Oct 2 at 14:55










1 Answer
1






active

oldest

votes


















10

















$begingroup$

You are looking for algorithms to find the integer convex hull of a polytope. Unfortunately, there is no easy way to do it efficiently and I am not sure the 2. point (the functions have integer coefficients) is even possible.



I used to do this for studying cutting planes (for small toy problems) using PORTA (http://porta.zib.de/), which is not under development anymore. But there are more modern software packages listed on the PORTA webpage that might be able to do this more efficiently and with more modern algorithms.



If I remember correctly, one algorithm to do this is the double description method, i.e. an algorithm that converts an extreme point and ray representation of a polyhedron into an matrix (inequalities) representation of a polyhedron. That this is possible goes back to the Minkowski-Weyl theorem. Here you can find a paper about that algorithm, there is probably a lot more out there.






share|improve this answer










$endgroup$













  • $begingroup$
    as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
    $endgroup$
    – Marco Lübbecke
    Oct 2 at 14:32






  • 2




    $begingroup$
    Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
    $endgroup$
    – user12005284
    Oct 2 at 15:00











  • $begingroup$
    My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
    $endgroup$
    – user12005284
    Oct 3 at 4:39













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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









10

















$begingroup$

You are looking for algorithms to find the integer convex hull of a polytope. Unfortunately, there is no easy way to do it efficiently and I am not sure the 2. point (the functions have integer coefficients) is even possible.



I used to do this for studying cutting planes (for small toy problems) using PORTA (http://porta.zib.de/), which is not under development anymore. But there are more modern software packages listed on the PORTA webpage that might be able to do this more efficiently and with more modern algorithms.



If I remember correctly, one algorithm to do this is the double description method, i.e. an algorithm that converts an extreme point and ray representation of a polyhedron into an matrix (inequalities) representation of a polyhedron. That this is possible goes back to the Minkowski-Weyl theorem. Here you can find a paper about that algorithm, there is probably a lot more out there.






share|improve this answer










$endgroup$













  • $begingroup$
    as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
    $endgroup$
    – Marco Lübbecke
    Oct 2 at 14:32






  • 2




    $begingroup$
    Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
    $endgroup$
    – user12005284
    Oct 2 at 15:00











  • $begingroup$
    My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
    $endgroup$
    – user12005284
    Oct 3 at 4:39
















10

















$begingroup$

You are looking for algorithms to find the integer convex hull of a polytope. Unfortunately, there is no easy way to do it efficiently and I am not sure the 2. point (the functions have integer coefficients) is even possible.



I used to do this for studying cutting planes (for small toy problems) using PORTA (http://porta.zib.de/), which is not under development anymore. But there are more modern software packages listed on the PORTA webpage that might be able to do this more efficiently and with more modern algorithms.



If I remember correctly, one algorithm to do this is the double description method, i.e. an algorithm that converts an extreme point and ray representation of a polyhedron into an matrix (inequalities) representation of a polyhedron. That this is possible goes back to the Minkowski-Weyl theorem. Here you can find a paper about that algorithm, there is probably a lot more out there.






share|improve this answer










$endgroup$













  • $begingroup$
    as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
    $endgroup$
    – Marco Lübbecke
    Oct 2 at 14:32






  • 2




    $begingroup$
    Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
    $endgroup$
    – user12005284
    Oct 2 at 15:00











  • $begingroup$
    My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
    $endgroup$
    – user12005284
    Oct 3 at 4:39














10















10











10







$begingroup$

You are looking for algorithms to find the integer convex hull of a polytope. Unfortunately, there is no easy way to do it efficiently and I am not sure the 2. point (the functions have integer coefficients) is even possible.



I used to do this for studying cutting planes (for small toy problems) using PORTA (http://porta.zib.de/), which is not under development anymore. But there are more modern software packages listed on the PORTA webpage that might be able to do this more efficiently and with more modern algorithms.



If I remember correctly, one algorithm to do this is the double description method, i.e. an algorithm that converts an extreme point and ray representation of a polyhedron into an matrix (inequalities) representation of a polyhedron. That this is possible goes back to the Minkowski-Weyl theorem. Here you can find a paper about that algorithm, there is probably a lot more out there.






share|improve this answer










$endgroup$



You are looking for algorithms to find the integer convex hull of a polytope. Unfortunately, there is no easy way to do it efficiently and I am not sure the 2. point (the functions have integer coefficients) is even possible.



I used to do this for studying cutting planes (for small toy problems) using PORTA (http://porta.zib.de/), which is not under development anymore. But there are more modern software packages listed on the PORTA webpage that might be able to do this more efficiently and with more modern algorithms.



If I remember correctly, one algorithm to do this is the double description method, i.e. an algorithm that converts an extreme point and ray representation of a polyhedron into an matrix (inequalities) representation of a polyhedron. That this is possible goes back to the Minkowski-Weyl theorem. Here you can find a paper about that algorithm, there is probably a lot more out there.







share|improve this answer













share|improve this answer




share|improve this answer










answered Oct 2 at 8:26









Philipp ChristophelPhilipp Christophel

8361 silver badge11 bronze badges




8361 silver badge11 bronze badges














  • $begingroup$
    as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
    $endgroup$
    – Marco Lübbecke
    Oct 2 at 14:32






  • 2




    $begingroup$
    Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
    $endgroup$
    – user12005284
    Oct 2 at 15:00











  • $begingroup$
    My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
    $endgroup$
    – user12005284
    Oct 3 at 4:39

















  • $begingroup$
    as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
    $endgroup$
    – Marco Lübbecke
    Oct 2 at 14:32






  • 2




    $begingroup$
    Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
    $endgroup$
    – user12005284
    Oct 2 at 15:00











  • $begingroup$
    My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
    $endgroup$
    – user12005284
    Oct 3 at 4:39
















$begingroup$
as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
$endgroup$
– Marco Lübbecke
Oct 2 at 14:32




$begingroup$
as the points have integer (in particular rational) data, the functions will have rational (and thus via scaling) integer data.
$endgroup$
– Marco Lübbecke
Oct 2 at 14:32




2




2




$begingroup$
Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
$endgroup$
– user12005284
Oct 2 at 15:00





$begingroup$
Thanks so much for this answer, especially the PORTA software and the DD method. They look to be very close to what I need. Also I can "guarantee" these functions can be chosen to have integer coefficients, the data is random but the process generating it is quite complicated. I will leave this question open for a bit to see if anyone has any other ideas, but otherwise I will accept this answer.
$endgroup$
– user12005284
Oct 2 at 15:00













$begingroup$
My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
$endgroup$
– user12005284
Oct 3 at 4:39





$begingroup$
My comment above reads "the data is random but..." but that's a typo and the opposite is true: The data is very much not random, but it is generated in a very complicated process.
$endgroup$
– user12005284
Oct 3 at 4:39



















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