knapsack_dynamic: Dynamic knapsack method
In herwineric/Lab6_Albin_Eric: Lab6
Description
Usage
Arguments
Value
Examples
View source: R/knapsack_dynamic.R
Description
Calulate with the dynamic knapsack method how to get the maximum value out of optimal weight.
Usage
1
knapsack_dynamic(x, W)
Arguments
x
must be a data frame with variables v (value) and w (weight)
W
integer. Specify the maximum value for the knapsack.
Value
Returns a list of the maximum value and which elemets used.
Examples
1
2
3
4
5
6
knapsack_objects <-
data.frame(
w=sample(1:4000, size = 2000, replace = TRUE),
v=runif(n = 2000, 0, 10000))
knapsack_dynamic(x = knapsack_objects[1:8,], W = 2000)
knapsack_dynamic(x = knapsack_objects[1:8,], W = 3500)
herwineric/Lab6_Albin_Eric documentation built on May 21, 2019, 3:03 a.m.
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Description Usage Arguments Value Examples
View source: R/knapsack_dynamic.R
Description
Calulate with the dynamic knapsack method how to get the maximum value out of optimal weight.
Usage
1 | knapsack_dynamic(x, W)
|
Arguments
x |
must be a data frame with variables v (value) and w (weight) |
W |
integer. Specify the maximum value for the knapsack. |
Value
Returns a list of the maximum value and which elemets used.
Examples
1 2 3 4 5 6 | knapsack_objects <-
data.frame(
w=sample(1:4000, size = 2000, replace = TRUE),
v=runif(n = 2000, 0, 10000))
knapsack_dynamic(x = knapsack_objects[1:8,], W = 2000)
knapsack_dynamic(x = knapsack_objects[1:8,], W = 3500)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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