Best use of steel bar cut for mechanical study

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP












4












$begingroup$


I have available a steel bar with length of 3000 mm.



I intend to get the best use of cutting out of this bar.



I need to cut this steel bar in the following lengths: 230mm, 260mm, 320mm, 350mm and 650mm.



enter image description here



How to get cut options "close" to the length of 3000 mm.



Example:



230 + 230 + 260 + 260 + 320 + 320 + 350 + 350 + 650;


-> 2970



I have the code below. I know I will have to use the "Nearest" function, but I am not able to apply it:



lista=230, 260, 320, 350, 650;
resultados=Join@@DeleteCases[IntegerPartitions[#,1,[Infinity],lista]&/@Range[3000],];
And@@Thread[Total/@resultados<=3000];
contagem=Map[Lookup[Counts[#],lista,0]&,resultados];
contagem//Short


In the my example, i get groups that are smaller that 3000, but wish the values that are "nearest" of the value of 3000










share|improve this question











$endgroup$







  • 3




    $begingroup$
    This is known as the knapsack problem and there is a built-in function solve it, KnapsackSolve.
    $endgroup$
    – C. E.
    Jan 23 at 11:34











  • $begingroup$
    Almost this. There are several combinations possible of cut with these lengths that added are "close" of 3000
    $endgroup$
    – LCarvalho
    Jan 23 at 11:43










  • $begingroup$
    @C.E. KnapsackSolve[230, 260, 320, 350, 650, 3000] gives me 13, 0, 0, 0, 0, which only has total cost 2990. I realize large knapsack problems might be difficult, but surely the algorithm should find one of the maximal answers for this small example... any idea if I'm doing something wrong?
    $endgroup$
    – MassDefect
    Jan 23 at 16:46










  • $begingroup$
    @MassDefect I don't think you're doing anything wrong. It would appear it isn't better than that.
    $endgroup$
    – C. E.
    Jan 23 at 16:54










  • $begingroup$
    @C.E. Ah, okay. I'm surprised by that. I thought for sure it would be good enough and that I was doing something silly. Thanks!
    $endgroup$
    – MassDefect
    Jan 23 at 16:56















4












$begingroup$


I have available a steel bar with length of 3000 mm.



I intend to get the best use of cutting out of this bar.



I need to cut this steel bar in the following lengths: 230mm, 260mm, 320mm, 350mm and 650mm.



enter image description here



How to get cut options "close" to the length of 3000 mm.



Example:



230 + 230 + 260 + 260 + 320 + 320 + 350 + 350 + 650;


-> 2970



I have the code below. I know I will have to use the "Nearest" function, but I am not able to apply it:



lista=230, 260, 320, 350, 650;
resultados=Join@@DeleteCases[IntegerPartitions[#,1,[Infinity],lista]&/@Range[3000],];
And@@Thread[Total/@resultados<=3000];
contagem=Map[Lookup[Counts[#],lista,0]&,resultados];
contagem//Short


In the my example, i get groups that are smaller that 3000, but wish the values that are "nearest" of the value of 3000










share|improve this question











$endgroup$







  • 3




    $begingroup$
    This is known as the knapsack problem and there is a built-in function solve it, KnapsackSolve.
    $endgroup$
    – C. E.
    Jan 23 at 11:34











  • $begingroup$
    Almost this. There are several combinations possible of cut with these lengths that added are "close" of 3000
    $endgroup$
    – LCarvalho
    Jan 23 at 11:43










  • $begingroup$
    @C.E. KnapsackSolve[230, 260, 320, 350, 650, 3000] gives me 13, 0, 0, 0, 0, which only has total cost 2990. I realize large knapsack problems might be difficult, but surely the algorithm should find one of the maximal answers for this small example... any idea if I'm doing something wrong?
    $endgroup$
    – MassDefect
    Jan 23 at 16:46










  • $begingroup$
    @MassDefect I don't think you're doing anything wrong. It would appear it isn't better than that.
    $endgroup$
    – C. E.
    Jan 23 at 16:54










  • $begingroup$
    @C.E. Ah, okay. I'm surprised by that. I thought for sure it would be good enough and that I was doing something silly. Thanks!
    $endgroup$
    – MassDefect
    Jan 23 at 16:56













4












4








4


1



$begingroup$


I have available a steel bar with length of 3000 mm.



I intend to get the best use of cutting out of this bar.



I need to cut this steel bar in the following lengths: 230mm, 260mm, 320mm, 350mm and 650mm.



enter image description here



How to get cut options "close" to the length of 3000 mm.



Example:



230 + 230 + 260 + 260 + 320 + 320 + 350 + 350 + 650;


-> 2970



I have the code below. I know I will have to use the "Nearest" function, but I am not able to apply it:



lista=230, 260, 320, 350, 650;
resultados=Join@@DeleteCases[IntegerPartitions[#,1,[Infinity],lista]&/@Range[3000],];
And@@Thread[Total/@resultados<=3000];
contagem=Map[Lookup[Counts[#],lista,0]&,resultados];
contagem//Short


In the my example, i get groups that are smaller that 3000, but wish the values that are "nearest" of the value of 3000










share|improve this question











$endgroup$




I have available a steel bar with length of 3000 mm.



I intend to get the best use of cutting out of this bar.



I need to cut this steel bar in the following lengths: 230mm, 260mm, 320mm, 350mm and 650mm.



enter image description here



How to get cut options "close" to the length of 3000 mm.



Example:



230 + 230 + 260 + 260 + 320 + 320 + 350 + 350 + 650;


-> 2970



I have the code below. I know I will have to use the "Nearest" function, but I am not able to apply it:



lista=230, 260, 320, 350, 650;
resultados=Join@@DeleteCases[IntegerPartitions[#,1,[Infinity],lista]&/@Range[3000],];
And@@Thread[Total/@resultados<=3000];
contagem=Map[Lookup[Counts[#],lista,0]&,resultados];
contagem//Short


In the my example, i get groups that are smaller that 3000, but wish the values that are "nearest" of the value of 3000







list-manipulation






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jan 23 at 11:37







LCarvalho

















asked Jan 23 at 11:29









LCarvalhoLCarvalho

5,68142886




5,68142886







  • 3




    $begingroup$
    This is known as the knapsack problem and there is a built-in function solve it, KnapsackSolve.
    $endgroup$
    – C. E.
    Jan 23 at 11:34











  • $begingroup$
    Almost this. There are several combinations possible of cut with these lengths that added are "close" of 3000
    $endgroup$
    – LCarvalho
    Jan 23 at 11:43










  • $begingroup$
    @C.E. KnapsackSolve[230, 260, 320, 350, 650, 3000] gives me 13, 0, 0, 0, 0, which only has total cost 2990. I realize large knapsack problems might be difficult, but surely the algorithm should find one of the maximal answers for this small example... any idea if I'm doing something wrong?
    $endgroup$
    – MassDefect
    Jan 23 at 16:46










  • $begingroup$
    @MassDefect I don't think you're doing anything wrong. It would appear it isn't better than that.
    $endgroup$
    – C. E.
    Jan 23 at 16:54










  • $begingroup$
    @C.E. Ah, okay. I'm surprised by that. I thought for sure it would be good enough and that I was doing something silly. Thanks!
    $endgroup$
    – MassDefect
    Jan 23 at 16:56












  • 3




    $begingroup$
    This is known as the knapsack problem and there is a built-in function solve it, KnapsackSolve.
    $endgroup$
    – C. E.
    Jan 23 at 11:34











  • $begingroup$
    Almost this. There are several combinations possible of cut with these lengths that added are "close" of 3000
    $endgroup$
    – LCarvalho
    Jan 23 at 11:43










  • $begingroup$
    @C.E. KnapsackSolve[230, 260, 320, 350, 650, 3000] gives me 13, 0, 0, 0, 0, which only has total cost 2990. I realize large knapsack problems might be difficult, but surely the algorithm should find one of the maximal answers for this small example... any idea if I'm doing something wrong?
    $endgroup$
    – MassDefect
    Jan 23 at 16:46










  • $begingroup$
    @MassDefect I don't think you're doing anything wrong. It would appear it isn't better than that.
    $endgroup$
    – C. E.
    Jan 23 at 16:54










  • $begingroup$
    @C.E. Ah, okay. I'm surprised by that. I thought for sure it would be good enough and that I was doing something silly. Thanks!
    $endgroup$
    – MassDefect
    Jan 23 at 16:56







3




3




$begingroup$
This is known as the knapsack problem and there is a built-in function solve it, KnapsackSolve.
$endgroup$
– C. E.
Jan 23 at 11:34





$begingroup$
This is known as the knapsack problem and there is a built-in function solve it, KnapsackSolve.
$endgroup$
– C. E.
Jan 23 at 11:34













$begingroup$
Almost this. There are several combinations possible of cut with these lengths that added are "close" of 3000
$endgroup$
– LCarvalho
Jan 23 at 11:43




$begingroup$
Almost this. There are several combinations possible of cut with these lengths that added are "close" of 3000
$endgroup$
– LCarvalho
Jan 23 at 11:43












$begingroup$
@C.E. KnapsackSolve[230, 260, 320, 350, 650, 3000] gives me 13, 0, 0, 0, 0, which only has total cost 2990. I realize large knapsack problems might be difficult, but surely the algorithm should find one of the maximal answers for this small example... any idea if I'm doing something wrong?
$endgroup$
– MassDefect
Jan 23 at 16:46




$begingroup$
@C.E. KnapsackSolve[230, 260, 320, 350, 650, 3000] gives me 13, 0, 0, 0, 0, which only has total cost 2990. I realize large knapsack problems might be difficult, but surely the algorithm should find one of the maximal answers for this small example... any idea if I'm doing something wrong?
$endgroup$
– MassDefect
Jan 23 at 16:46












$begingroup$
@MassDefect I don't think you're doing anything wrong. It would appear it isn't better than that.
$endgroup$
– C. E.
Jan 23 at 16:54




$begingroup$
@MassDefect I don't think you're doing anything wrong. It would appear it isn't better than that.
$endgroup$
– C. E.
Jan 23 at 16:54












$begingroup$
@C.E. Ah, okay. I'm surprised by that. I thought for sure it would be good enough and that I was doing something silly. Thanks!
$endgroup$
– MassDefect
Jan 23 at 16:56




$begingroup$
@C.E. Ah, okay. I'm surprised by that. I thought for sure it would be good enough and that I was doing something silly. Thanks!
$endgroup$
– MassDefect
Jan 23 at 16:56










2 Answers
2






active

oldest

votes


















7












$begingroup$

x = x1, x2, x3, x4, x5;
Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 0], x, Integers]



3000, x1 -> 0, x2 -> 0, x3 -> 5, x4 -> 4, x5 -> 0




If you have to use at least one of each piece:



Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 1], x, Integers]



3000, x1 -> 2, x2 -> 1, x3 -> 4, x4 -> 1, x5 -> 1




All solutions that use all of 3000mm:



FrobeniusSolve[lista, 3000]



0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0




Or use IntegerPartitions as follows:



Map[Lookup[Counts[#], lista, 0] &, IntegerPartitions[3000, All, lista]]



0, 0, 0, 3, 3, 6, 0, 1, 0, 2, 4, 3, 0, 0, 2, 3, 1, 0, 4,
1, 2, 2, 1, 3, 1, 0, 5, 0, 3, 1, 3, 0, 3, 2, 1, 1, 3, 2, 2,
1, 2, 1, 4, 1, 1, 0, 4, 3, 1, 1, 1, 2, 5, 0, 1, 1, 0, 1, 7,
0, 0, 1, 2, 6, 0, 0, 0, 5, 4, 0, 10, 0, 0, 2, 0, 9, 1, 1, 1,
0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 6, 5, 1, 0, 0, 4, 8, 0, 0, 0




You can also use Solve and Reduce:



x /. Solve[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers]
Reduce[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers][[All, All, -1]] /.
Or | And -> List



0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0







share|improve this answer











$endgroup$




















    1












    $begingroup$

    lst = 230, 260, 320, 350, 650;
    vars = c1, c2, c3, c4, c5;
    eq = Inner[Times, lst, vars, Plus]

    (sol = FindInstance[eq == 3000 && vars > 0, vars, Integers, 10]) // Column
    c1 -> 1, c2 -> 3, c3 -> 2, c4 -> 2, c5 -> 1
    c1 -> 2, c2 -> 1, c3 -> 4, c4 -> 1, c5 -> 1
    c1 -> 2, c2 -> 2, c3 -> 1, c4 -> 3, c5 -> 1

    eq /. sol
    3000, 3000, 3000





    share|improve this answer









    $endgroup$












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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      7












      $begingroup$

      x = x1, x2, x3, x4, x5;
      Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 0], x, Integers]



      3000, x1 -> 0, x2 -> 0, x3 -> 5, x4 -> 4, x5 -> 0




      If you have to use at least one of each piece:



      Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 1], x, Integers]



      3000, x1 -> 2, x2 -> 1, x3 -> 4, x4 -> 1, x5 -> 1




      All solutions that use all of 3000mm:



      FrobeniusSolve[lista, 3000]



      0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
      1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
      1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
      1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
      0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0




      Or use IntegerPartitions as follows:



      Map[Lookup[Counts[#], lista, 0] &, IntegerPartitions[3000, All, lista]]



      0, 0, 0, 3, 3, 6, 0, 1, 0, 2, 4, 3, 0, 0, 2, 3, 1, 0, 4,
      1, 2, 2, 1, 3, 1, 0, 5, 0, 3, 1, 3, 0, 3, 2, 1, 1, 3, 2, 2,
      1, 2, 1, 4, 1, 1, 0, 4, 3, 1, 1, 1, 2, 5, 0, 1, 1, 0, 1, 7,
      0, 0, 1, 2, 6, 0, 0, 0, 5, 4, 0, 10, 0, 0, 2, 0, 9, 1, 1, 1,
      0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 6, 5, 1, 0, 0, 4, 8, 0, 0, 0




      You can also use Solve and Reduce:



      x /. Solve[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers]
      Reduce[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers][[All, All, -1]] /.
      Or | And -> List



      0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
      1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
      1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
      1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
      0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0







      share|improve this answer











      $endgroup$

















        7












        $begingroup$

        x = x1, x2, x3, x4, x5;
        Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 0], x, Integers]



        3000, x1 -> 0, x2 -> 0, x3 -> 5, x4 -> 4, x5 -> 0




        If you have to use at least one of each piece:



        Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 1], x, Integers]



        3000, x1 -> 2, x2 -> 1, x3 -> 4, x4 -> 1, x5 -> 1




        All solutions that use all of 3000mm:



        FrobeniusSolve[lista, 3000]



        0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
        1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
        1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
        1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
        0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0




        Or use IntegerPartitions as follows:



        Map[Lookup[Counts[#], lista, 0] &, IntegerPartitions[3000, All, lista]]



        0, 0, 0, 3, 3, 6, 0, 1, 0, 2, 4, 3, 0, 0, 2, 3, 1, 0, 4,
        1, 2, 2, 1, 3, 1, 0, 5, 0, 3, 1, 3, 0, 3, 2, 1, 1, 3, 2, 2,
        1, 2, 1, 4, 1, 1, 0, 4, 3, 1, 1, 1, 2, 5, 0, 1, 1, 0, 1, 7,
        0, 0, 1, 2, 6, 0, 0, 0, 5, 4, 0, 10, 0, 0, 2, 0, 9, 1, 1, 1,
        0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 6, 5, 1, 0, 0, 4, 8, 0, 0, 0




        You can also use Solve and Reduce:



        x /. Solve[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers]
        Reduce[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers][[All, All, -1]] /.
        Or | And -> List



        0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
        1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
        1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
        1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
        0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0







        share|improve this answer











        $endgroup$















          7












          7








          7





          $begingroup$

          x = x1, x2, x3, x4, x5;
          Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 0], x, Integers]



          3000, x1 -> 0, x2 -> 0, x3 -> 5, x4 -> 4, x5 -> 0




          If you have to use at least one of each piece:



          Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 1], x, Integers]



          3000, x1 -> 2, x2 -> 1, x3 -> 4, x4 -> 1, x5 -> 1




          All solutions that use all of 3000mm:



          FrobeniusSolve[lista, 3000]



          0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
          1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
          1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
          1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
          0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0




          Or use IntegerPartitions as follows:



          Map[Lookup[Counts[#], lista, 0] &, IntegerPartitions[3000, All, lista]]



          0, 0, 0, 3, 3, 6, 0, 1, 0, 2, 4, 3, 0, 0, 2, 3, 1, 0, 4,
          1, 2, 2, 1, 3, 1, 0, 5, 0, 3, 1, 3, 0, 3, 2, 1, 1, 3, 2, 2,
          1, 2, 1, 4, 1, 1, 0, 4, 3, 1, 1, 1, 2, 5, 0, 1, 1, 0, 1, 7,
          0, 0, 1, 2, 6, 0, 0, 0, 5, 4, 0, 10, 0, 0, 2, 0, 9, 1, 1, 1,
          0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 6, 5, 1, 0, 0, 4, 8, 0, 0, 0




          You can also use Solve and Reduce:



          x /. Solve[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers]
          Reduce[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers][[All, All, -1]] /.
          Or | And -> List



          0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
          1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
          1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
          1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
          0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0







          share|improve this answer











          $endgroup$



          x = x1, x2, x3, x4, x5;
          Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 0], x, Integers]



          3000, x1 -> 0, x2 -> 0, x3 -> 5, x4 -> 4, x5 -> 0




          If you have to use at least one of each piece:



          Maximize[x.lista, x.lista <= 3000, ## & @@ Thread[x >= 1], x, Integers]



          3000, x1 -> 2, x2 -> 1, x3 -> 4, x4 -> 1, x5 -> 1




          All solutions that use all of 3000mm:



          FrobeniusSolve[lista, 3000]



          0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
          1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
          1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
          1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
          0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0




          Or use IntegerPartitions as follows:



          Map[Lookup[Counts[#], lista, 0] &, IntegerPartitions[3000, All, lista]]



          0, 0, 0, 3, 3, 6, 0, 1, 0, 2, 4, 3, 0, 0, 2, 3, 1, 0, 4,
          1, 2, 2, 1, 3, 1, 0, 5, 0, 3, 1, 3, 0, 3, 2, 1, 1, 3, 2, 2,
          1, 2, 1, 4, 1, 1, 0, 4, 3, 1, 1, 1, 2, 5, 0, 1, 1, 0, 1, 7,
          0, 0, 1, 2, 6, 0, 0, 0, 5, 4, 0, 10, 0, 0, 2, 0, 9, 1, 1, 1,
          0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 6, 5, 1, 0, 0, 4, 8, 0, 0, 0




          You can also use Solve and Reduce:



          x /. Solve[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers]
          Reduce[x.lista == 3000, ## & @@ Thread[x >= 0], x, Integers][[All, All, -1]] /.
          Or | And -> List



          0, 0, 0, 3, 3, 0, 0, 5, 4, 0, 0, 1, 2, 6, 0, 0, 4, 3, 1,
          1, 0, 5, 0, 3, 1, 1, 0, 1, 7, 0, 1, 2, 5, 0, 1, 1, 3, 2, 2,
          1, 2, 1, 4, 1, 1, 2, 2, 1, 3, 1, 3, 0, 3, 2, 1, 3, 1, 0, 4,
          1, 4, 3, 0, 0, 2, 4, 8, 0, 0, 0, 6, 0, 1, 0, 2, 6, 5, 1, 0,
          0, 7, 4, 0, 1, 0, 8, 2, 2, 0, 0, 9, 1, 1, 1, 0, 10, 0, 0, 2, 0








          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Jan 23 at 14:09

























          answered Jan 23 at 11:42









          kglrkglr

          183k10201416




          183k10201416





















              1












              $begingroup$

              lst = 230, 260, 320, 350, 650;
              vars = c1, c2, c3, c4, c5;
              eq = Inner[Times, lst, vars, Plus]

              (sol = FindInstance[eq == 3000 && vars > 0, vars, Integers, 10]) // Column
              c1 -> 1, c2 -> 3, c3 -> 2, c4 -> 2, c5 -> 1
              c1 -> 2, c2 -> 1, c3 -> 4, c4 -> 1, c5 -> 1
              c1 -> 2, c2 -> 2, c3 -> 1, c4 -> 3, c5 -> 1

              eq /. sol
              3000, 3000, 3000





              share|improve this answer









              $endgroup$

















                1












                $begingroup$

                lst = 230, 260, 320, 350, 650;
                vars = c1, c2, c3, c4, c5;
                eq = Inner[Times, lst, vars, Plus]

                (sol = FindInstance[eq == 3000 && vars > 0, vars, Integers, 10]) // Column
                c1 -> 1, c2 -> 3, c3 -> 2, c4 -> 2, c5 -> 1
                c1 -> 2, c2 -> 1, c3 -> 4, c4 -> 1, c5 -> 1
                c1 -> 2, c2 -> 2, c3 -> 1, c4 -> 3, c5 -> 1

                eq /. sol
                3000, 3000, 3000





                share|improve this answer









                $endgroup$















                  1












                  1








                  1





                  $begingroup$

                  lst = 230, 260, 320, 350, 650;
                  vars = c1, c2, c3, c4, c5;
                  eq = Inner[Times, lst, vars, Plus]

                  (sol = FindInstance[eq == 3000 && vars > 0, vars, Integers, 10]) // Column
                  c1 -> 1, c2 -> 3, c3 -> 2, c4 -> 2, c5 -> 1
                  c1 -> 2, c2 -> 1, c3 -> 4, c4 -> 1, c5 -> 1
                  c1 -> 2, c2 -> 2, c3 -> 1, c4 -> 3, c5 -> 1

                  eq /. sol
                  3000, 3000, 3000





                  share|improve this answer









                  $endgroup$



                  lst = 230, 260, 320, 350, 650;
                  vars = c1, c2, c3, c4, c5;
                  eq = Inner[Times, lst, vars, Plus]

                  (sol = FindInstance[eq == 3000 && vars > 0, vars, Integers, 10]) // Column
                  c1 -> 1, c2 -> 3, c3 -> 2, c4 -> 2, c5 -> 1
                  c1 -> 2, c2 -> 1, c3 -> 4, c4 -> 1, c5 -> 1
                  c1 -> 2, c2 -> 2, c3 -> 1, c4 -> 3, c5 -> 1

                  eq /. sol
                  3000, 3000, 3000






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Jan 23 at 14:01









                  rmwrmw

                  2247




                  2247



























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