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hello-algo/en/codes/ruby/chapter_dynamic_programming/unbounded_knapsack.rb
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

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Ruby

=begin
File: unbounded_knapsack.rb
Created Time: 2024-05-29
Author: Xuan Khoa Tu Nguyen (ngxktuzkai2000@gmail.com)
=end
### Unbounded knapsack: dynamic programming ###
def unbounded_knapsack_dp(wgt, val, cap)
n = wgt.length
# Initialize the dp table
dp = Array.new(n + 1) { Array.new(cap + 1, 0) }
# State transitions
for i in 1...(n + 1)
for c in 1...(cap + 1)
if wgt[i - 1] > c
# If item i exceeds the remaining capacity, do not choose it
dp[i][c] = dp[i - 1][c]
else
# Take the larger value obtained by excluding and including item i
dp[i][c] = [dp[i - 1][c], dp[i][c - wgt[i - 1]] + val[i - 1]].max
end
end
end
dp[n][cap]
end
### Unbounded knapsack: space-optimized dynamic programming ###
def unbounded_knapsack_dp_comp(wgt, val, cap)
n = wgt.length
# Initialize the dp table
dp = Array.new(cap + 1, 0)
# State transitions
for i in 1...(n + 1)
# Traverse in increasing order
for c in 1...(cap + 1)
if wgt[i -1] > c
# If item i exceeds the remaining capacity, do not choose it
dp[c] = dp[c]
else
# Take the larger value obtained by excluding and including item i
dp[c] = [dp[c], dp[c - wgt[i - 1]] + val[i - 1]].max
end
end
end
dp[cap]
end
### Driver code ###
if __FILE__ == $0
wgt = [1, 2, 3]
val = [5, 11, 15]
cap = 4
# Dynamic programming
res = unbounded_knapsack_dp(wgt, val, cap)
puts "Maximum total item value within the knapsack capacity: #{res}"
# Space-optimized dynamic programming
res = unbounded_knapsack_dp_comp(wgt, val, cap)
puts "Maximum total item value within the knapsack capacity: #{res}"
end