Best use of steel bar cut for mechanical study
Clash Royale CLAN TAG#URR8PPP
$begingroup$
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.
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
$endgroup$
add a comment |
$begingroup$
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.
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
$endgroup$
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
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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 me13, 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
add a comment |
$begingroup$
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.
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
$endgroup$
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.
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
list-manipulation
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 me13, 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
add a comment |
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 me13, 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
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
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
$endgroup$
add a comment |
$begingroup$
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
$endgroup$
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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
$endgroup$
add a comment |
$begingroup$
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
$endgroup$
add a comment |
$begingroup$
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
$endgroup$
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
edited Jan 23 at 14:09
answered Jan 23 at 11:42
kglrkglr
183k10201416
183k10201416
add a comment |
add a comment |
$begingroup$
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
$endgroup$
add a comment |
$begingroup$
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
$endgroup$
add a comment |
$begingroup$
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
$endgroup$
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
answered Jan 23 at 14:01
rmwrmw
2247
2247
add a comment |
add a comment |
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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 me13, 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