Files
hello-algo/en/codes/ruby/chapter_dynamic_programming/unbounded_knapsack.rb
Yudong Jin 2778a6f9c7 Translate all code to English (#1836)
* Review the EN heading format.

* Fix pythontutor headings.

* Fix pythontutor headings.

* bug fixes

* Fix headings in **/summary.md

* Revisit the CN-to-EN translation for Python code using Claude-4.5

* Revisit the CN-to-EN translation for Java code using Claude-4.5

* Revisit the CN-to-EN translation for Cpp code using Claude-4.5.

* Fix the dictionary.

* Fix cpp code translation for the multipart strings.

* Translate Go code to English.

* Update workflows to test EN code.

* Add EN translation for C.

* Add EN translation for CSharp.

* Add EN translation for Swift.

* Trigger the CI check.

* Revert.

* Update en/hash_map.md

* Add the EN version of Dart code.

* Add the EN version of Kotlin code.

* Add missing code files.

* Add the EN version of JavaScript code.

* Add the EN version of TypeScript code.

* Fix the workflows.

* Add the EN version of Ruby code.

* Add the EN version of Rust code.

* Update the CI check for the English version  code.

* Update Python CI check.

* Fix cmakelists for en/C code.

* Fix Ruby comments
2025-12-31 07:44:52 +08:00

62 lines
1.6 KiB
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 dp table
dp = Array.new(n + 1) { Array.new(cap + 1, 0) }
# State transition
for i in 1...(n + 1)
for c in 1...(cap + 1)
if wgt[i - 1] > c
# If exceeds knapsack capacity, don't select item i
dp[i][c] = dp[i - 1][c]
else
# The larger value between not selecting and selecting 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 DP ###
def unbounded_knapsack_dp_comp(wgt, val, cap)
n = wgt.length
# Initialize dp table
dp = Array.new(cap + 1, 0)
# State transition
for i in 1...(n + 1)
# Traverse in forward order
for c in 1...(cap + 1)
if wgt[i -1] > c
# If exceeds knapsack capacity, don't select item i
dp[c] = dp[c]
else
# The larger value between not selecting and selecting 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 item value not exceeding knapsack capacity is #{res}"
# Space-optimized dynamic programming
res = unbounded_knapsack_dp_comp(wgt, val, cap)
puts "Maximum item value not exceeding knapsack capacity is #{res}"
end