brute_force_knapsack: Knapsack Algorithm - Brute Force
In abkw/lab06: lab06
Description
Usage
Arguments
Value
Examples
Description
Brute Force Approch to Solve Knapsack Problem
Usage
1
brute_force_knapsack(x, W, parallel = FALSE)
Arguments
x
data.frame with colnames 'v' & 'w'
W
Knapsack Maximum Weight
parallel
Bool value to pass to active parallel
Value
Return best Knapsack combination with maximum value
Examples
1
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5
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7
8
set.seed(42)
n <- 2000
knapsack_objects <-
data.frame(
w=sample(1:4000, size = n, replace = TRUE),
v=runif(n = n, 0, 10000)
)
brute_force_knapsack(x = knapsack_objects[1:8,], W = 2000)
abkw/lab06 documentation built on Oct. 31, 2019, 1:56 a.m.
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Description Usage Arguments Value Examples
Description
Brute Force Approch to Solve Knapsack Problem
Usage
1 | brute_force_knapsack(x, W, parallel = FALSE)
|
Arguments
x |
data.frame with colnames 'v' & 'w' |
W |
Knapsack Maximum Weight |
parallel |
Bool value to pass to active parallel |
Value
Return best Knapsack combination with maximum value
Examples
1 2 3 4 5 6 7 8 | set.seed(42)
n <- 2000
knapsack_objects <-
data.frame(
w=sample(1:4000, size = n, replace = TRUE),
v=runif(n = n, 0, 10000)
)
brute_force_knapsack(x = knapsack_objects[1:8,], W = 2000)
|
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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