Recursion and Dynamic Programming
Coin Change (Bottom-Up)
Build a one-dimensional table where each amount stores the fewest coins needed to make it.
Algorithm
@steps
- Initialize
dp[0] = 0and all other amounts to an unreachable sentinel. - Scan amounts from
1through6. - For each coin, read the earlier cell
dp[amount - coin]when it exists. - Write the smallest candidate into the current amount.
- Print both the final answer and the full DP array. @end @complexity
- Time: O(target * coin_count)
- Space: O(target) @end
bottom-up dynamic programming
`dp[a]` is solved from already-computed smaller amounts, so every table cell has a visible dependency.
Ruby DSA Implementation
basic.rb
def list_string(values)
"[" + values.join(", ") + "]"
end
coins = [1, 3, 4]
target = 6
inf = target + 1
dp = Array.new(target + 1, inf)
dp[0] = 0
(1..target).each do |amount|
coins.each do |coin|
next if amount < coin
candidate = dp[amount - coin] + 1
dp[amount] = candidate if candidate < dp[amount]
end
end
puts dp[target]
puts list_string(dp)
@end @output 2 [0, 1, 2, 1, 1, 2, 2] @end