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面试题11:旋转数组的最小数字

方法:设两个指针,分别位于数组的开头和结尾,while循环,若开头的数小于结尾的数,直接返回开头数,否则找到中间的数,若中间数大于开头数,范围缩小到中间数+1到结尾数,若中间数小于开头数,则范围缩小到前半部分,若相等则直接return该段的最小值,如此反复,直到两个指针指向同一个元素元素,循环结束,返回。
- class Solution(object):
- def minArray(self, rotateArray):
- # write code here
- if len(rotateArray)==0:return 0
- if len(rotateArray)==1:return rotateArray[0]
- lengh = len(rotateArray)
- front = 0
- end = lengh-1
- while front!=end:
- if rotateArray[end]>rotateArray[front]:return rotateArray[front]
- mid = (front+end)//2
- if rotateArray[front]<rotateArray[mid]:
- front = mid+1
- elif rotateArray[front]>rotateArray[mid]:
- end = mid
- else: #110111的情况
- return min(rotateArray[front:end+1])
- return rotateArray[end]


方法:haspath函数里挨个遍历找到和第一个数相同的起始位置,然后调用find函数遍历接下来的四个位置,并将刚才相等的位置的数置0,find中递归调用自己,return的条件是path为空
- class Solution:
- def hasPath(self, matrix, rows, cols, path):
- # write code here
- for i in range(rows):
- for j in range(cols):
- if matrix[i*cols+j]==path[0]:
- if self.find(list(matrix),rows,cols,path[1:],i,j):
- return True
- return False
- def find(self,matrix,rows,cols,path,i,j):
- if not path:
- return True
- matrix[i*cols+j]='0'
- if j+1<cols and matrix[i*cols+(j+1)]==path[0]:
- return self.find(matrix,rows,cols,path[1:],i,j+1)
- elif j-1>=0 and matrix[i*cols+(j-1)]==path[0]:
- return self.find(matrix,rows,cols,path[1:],i,j-1)
- elif i+1<rows and matrix[(i+1)*cols+j]==path[0]:
- return self.find(matrix,rows,cols,path[1:],i+1,j)
- elif i-1>=0 and matrix[(i-1)*cols+j]==path[0]:
- return self.find(matrix,rows,cols,path[1:],i-1,j)
- else:
- return False


方法:block函数判断是否超过阈值,traverse函数中判断四个方向是否可行,递归调用自己,返回条件是和超过阈值或者到达了矩阵的边界,需要把经过的位置设置标记
- class Solution:
- def movingCount(self, threshold, rows, cols):
- # write code here
- board=[[0 for i in range(cols)]for j in range(rows)]
- global acc
- acc=0
- def block(r,c):
- s=sum(map(int,str(r)+str(c)))
- #s = r+c
- return s>threshold
-
- def traverse(r,c):
- global acc
- if not (0<=r<rows and 0<=c<cols):
- return
- if board[r][c]!=0:
- return
- if block(r,c):
- board[r][c]=-1 #超出门限的点记录-1
- return
- board[r][c]=1 #符合规定的点记录1,并计数加一
- acc+=1
- traverse(r+1,c)
- traverse(r-1,c)
- traverse(r,c+1)
- traverse(r,c-1)
-
- traverse(0,0)
- return acc


方法一:从下往上,动态规划,先得到f(2),f(3),再得到f(4),f(5),再f(n)
-
- class Solution(object):
- def cuttingRope(self, n):
- """
- :type n: int
- :rtype: int
- """
- if n == 2:
- return 1
- if n == 3:
- return 2
- dp = [1]*(n+1)#建立dp数组
- dp[1] = 1#初始化base
- dp[2] = 2 #2只能分成1和1,但实际上不分解更大
- dp[3] = 3 #3分成2和1最大,但实际上不分解最大,
- #进行状态转移
- for i in range(4,n+1):#对每个状态4~n
- for j in range(1,i//2+1):#对每种选择
- dp[i] = max(dp[i],dp[i-j]*dp[j])#状态转移方程
- return dp[-1]

方法二:贪婪算法,尽可能多的剪出长度为3的绳子,当剩下是4的时候,剪成2*2的绳子
- class Solution:
- def cutRope(self, number):
- if number < 5:
- return [0, 0, 1, 2, 4][number]
- return number % 3 * 3 ** (number // 3)

方法一:与运算,共32与运算,每次将所给的数与1,若结果为1则count+1
方法二:把一个数减去1,再与原整数做与运算,会把该整数最右边的1变成0,所以统计可以做多少次这样的运算
- # -*- coding:utf-8 -*-
- class Solution:
- def NumberOf1(self, n):
- # write code here
- #减去1再与上原数,相当于最右边的1变成0,看能有多少次这种运算
- '''
- num = 0
- while n!=0:
- n = (n-1)&n
- num = num+1
- return num
- '''
- count = 0
- for i in range(32):
- if n&1==1:
- count = count+1
- n = n>>1
- return count

相关题目:


方法:很简单需要注意细节,指数是负数的时候先取正再倒数,为0的情况单独考虑
- # -*- coding:utf-8 -*-
- class Solution:
- def Power(self, base, exponent):
- # write code here
- if base ==0: return 0
- if exponent==0:return 1
- result = 1
- for i in range (abs(exponent)):
- result = result *base
- if exponent>0:
- return result
- else:
- return 1/result

方法:大数问题,需要用字符串表示数字,相当于n个空位将0到9全排列,注意只保存左边起不为0的数字
- class Solution:
- def printNumbers(self, n: int) -> [int]:
- def dfs(x):
- if x == n:
- s = ''.join(num[self.start:])
- if s != '0': res.append(int(s))
- if n - self.start == self.nine: self.start -= 1
- return
- for i in range(10):
- if i == 9: self.nine += 1
- num[x] = str(i)
- dfs(x + 1)
- self.nine -= 1
-
- num, res = ['0'] * n, []
- self.nine = 0
- self.start = n - 1
- dfs(0)
- return res
- def printNumbers_2(self, n):
- """
- :type n: int
- :rtype: List[int]
- """
- return [i for i in range(1, 10 ** n)]


方法一:每次都比较next.val,如果相同直接将现在的指向之后的之后
- # Definition for singly-linked list.
- # class ListNode:
- # def __init__(self, x):
- # self.val = x
- # self.next = None
- class Solution:
- def deleteNode(self, head: ListNode, val: int) -> ListNode:
- # 如果头结点为空,直接返回
- if not head:
- return head
- # 如果头结点值等于val,直接返回head.next(题设中有注明链表中元素不重复)
- if head.val == val:
- return head.next
- # 定义一个指针
- cur = head
- while cur.next:
- # 关键步骤,如果next的值等于val,跳过该节点
- if cur.next.val == val:
- cur.next = cur.next.next
- break
- cur = cur.next
- return head
-

方法二:设置两个指针,前面那个指针比较是否相等,若果相等,直接将前面的指向后面的后面。
- class Solution:
- def deleteNode(self, head: ListNode, val: int) -> ListNode:
- if head.val == val: return head.next
- pre, cur = head, head.next
- while cur and cur.val != val:
- pre, cur = cur, cur.next
- if cur: pre.next = cur.next
- return head
-

方法:需要设置一个节点pre指向头节点以免头节点重复被删除,先判断是否有重复,有的话再while循环往后比较,设置pre.next = cur, cur.next=temp
- class Solution:
- def deleteDuplication(self, pHead):
- # write code here
- d = ListNode(-1)
- d.next = pHead
- pre = d
- cur = pHead
- while cur:
- if cur.next and cur.next.val == cur.val:
- temp = cur.next
- while temp and temp.val == cur.val:
- temp = temp.next
- pre.next = temp
- cur = temp
- else:
- pre = cur
- cur = cur.next
- return d.next

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