Recursion and Dynamic Programming
0/1 Knapsack (Small)
Fill a small 0/1 knapsack table where each row decides whether one more item is available.
Algorithm
@steps
- Create a table with one extra row for using zero items.
- Process the four items in fixed order.
- For each capacity, inherit when the item is too heavy.
- Otherwise compare
skipandtakefrom the previous row. - Print the best value and the full deterministic table. @end @complexity
- Time: O(item_count * capacity)
- Space: O(item_count * capacity) @end
state transition
`dp[i][w]` compares skipping item `i` with taking it and reading the remaining capacity from the previous row.
Ruby DSA Implementation
basic.rb
def row_string(row)
"[" + row.join(", ") + "]"
end
def table_string(table)
"[" + table.map { |row| row_string(row) }.join(", ") + "]"
end
weights = [2, 3, 4, 5]
values = [3, 4, 5, 6]
capacity = 5
dp = Array.new(weights.length + 1) { Array.new(capacity + 1, 0) }
(1..weights.length).each do |item|
weight = weights[item - 1]
value = values[item - 1]
(0..capacity).each do |cap|
if weight > cap
dp[item][cap] = dp[item - 1][cap]
else
skip = dp[item - 1][cap]
take = value + dp[item - 1][cap - weight]
dp[item][cap] = [skip, take].max
end
end
end
puts dp[weights.length][capacity]
puts table_string(dp)
@end @output 7 [[0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 3, 3], [0, 0, 3, 4, 4, 7], [0, 0, 3, 4, 5, 7], [0, 0, 3, 4, 5, 7]] @end