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golang_combination_sum

Given an array of distinct integers candidates and a target integer target, return a list of all unique combinations of candidates where the chosen numbers sum to target. You may return the combinations in any order.

The same number may be chosen from candidates an unlimited number of times. Two combinations are unique if the frequency of at least one of the chosen numbers is different.

It is guaranteed that the number of unique combinations that sum up to target is less than 150 combinations for the given input.

Examples

Example 1:

Input: candidates = [2,3,6,7], target = 7
Output: [[2,2,3],[7]]
Explanation:
2 and 3 are candidates, and 2 + 2 + 3 = 7. Note that 2 can be used multiple times.
7 is a candidate, and 7 = 7.
These are the only two combinations.

Example 2:

Input: candidates = [2,3,5], target = 8
Output: [[2,2,2,2],[2,3,3],[3,5]]

Example 3:

Input: candidates = [2], target = 1
Output: []

Constraints:

  • 1 <= candidates.length <= 30
  • 1 <= candidates[i] <= 200
  • All elements of candidates are distinct.
  • 1 <= target <= 500

解析

給定一個整數陣列 nums 還有一個整數 target

要求要寫出一個演算法來找出和為 target 的所有 nums 內元素不重複組合

可以利用類似 PowerSet 個概念

分為選擇該數值或是不選該數值的 decision tree

每次先檢查當選了該數值還可以繼續則及續選

否則就往下一個數值檢查

概念圖如下

程式碼

package sol

func combinationSum(candidates []int, target int) [][]int {
	result := [][]int{}

	var dfs func(i int, cur []int, total int)
	dfs = func(i int, cur []int, total int) {
		// break condition
		if total == target {
			temp := make([]int, len(cur))
			copy(temp, cur)
			result = append(result, temp)
			return
		}
		// prune not possible path
		if i >= len(candidates) || total > target {
			return
		}

		// choose i
		cur = append(cur, candidates[i])
		dfs(i, cur, total+candidates[i])

		// not choose i, next choose
		cur = cur[:len(cur)-1]
		dfs(i+1, cur, total)
	}
	dfs(0, []int{}, 0)
	return result
}

困難點

  1. 理解如何做窮舉法
  2. 理解如何窮舉出不重複的方式
  3. 需要理解 golang slice 只是 array 的 reference, 要保存值只能透過 copy 方式

Solve Point

  • Understand what problem to solve
  • Analysis Complexity