题目如下:

(This problem is an interactive problem.)

You may recall that an array A is a mountain array if and only if:

  • A.length >= 3
  • There exists some i with 0 < i < A.length - 1 such that:
    • A[0] < A[1] < ... A[i-1] < A[i]
    • A[i] > A[i+1] > ... > A[A.length - 1]

Given a mountain array mountainArr, return the minimum index such that mountainArr.get(index) == target.  If such an index doesn't exist, return -1.

You can't access the mountain array directly.  You may only access the array using a MountainArray interface:

  • MountainArray.get(k) returns the element of the array at index k (0-indexed).
  • MountainArray.length() returns the length of the array.

Submissions making more than 100 calls to MountainArray.get will be judged Wrong Answer.  Also, any solutions that attempt to circumvent the judge will result in disqualification.

Example 1:

Input: array = [1,2,3,4,5,3,1], target = 3
Output: 2
Explanation: 3 exists in the array, at index=2 and index=5. Return the minimum index, which is 2.

Example 2:

Input: array = [0,1,2,4,2,1], target = 3
Output: -1
Explanation: 3 does not exist in the array, so we return -1.

Constraints:

  1. 3 <= mountain_arr.length() <= 10000
  2. 0 <= target <= 10^9
  3. 0 <= mountain_arr.get(index) <= 10^9
 

解题思路:我的解法是二分查找。mountain array 数组的特点是有一个顶点,顶点左边的区间是单调递增,右边的区间是单调递减。所以首先是找出顶点的下标,对于任意一个点mid,如果值比(mid-1)和(mid+1)都大,表示这个是顶点;如果mid的值大于(mid+1),表示mid处于下降区间,令high = mid - 1;如果mid的值大于(mid-1),表示mid处于上升区间,令low = mid + 1;最终可以计算出顶点top。接下来再对左边的上升区间做二分查找求target,如果找到则返回对应小标;没有的话继续对右边的下降区间用二分查找。

代码如下:

# """
# This is MountainArray's API interface.
# You should not implement it, or speculate about its implementation
# """
#class MountainArray(object):
# def get(self, index):
# """
# :type index: int
# :rtype int
# """
#
# def length(self):
# """
# :rtype int
# """ class Solution(object):
def findInMountainArray(self, target, mountain_arr):
"""
:type target: integer
:type mountain_arr: MountainArray
:rtype: integer
"""
length = mountain_arr.length()
low = 0
high = length - 1
while low <= high:
mid = (low + high)/2
mid_val = mountain_arr.get(mid)
mid_l_val,mid_h_val = -float('inf'),-float('inf')
if mid - 1 >= 0:
mid_l_val = mountain_arr.get(mid-1)
if mid + 1 <= high:
mid_h_val = mountain_arr.get(mid+1)
if mid_val > mid_l_val and mid_val > mid_h_val:
break
elif mid_val > mid_h_val:
high = mid - 1
elif mid_val > mid_l_val:
low = mid + 1
#left
low,high = 0,mid
res = -1
while low <= high:
mid = (low + high)/2
mid_val = mountain_arr.get(mid)
if target == mid_val:
res = mid
break
elif target > mid_val:
low = mid + 1
else:
high = mid - 1 if res != -1:return res
low, high = mid,length-1
while low <= high:
mid = (low + high)/2
mid_val = mountain_arr.get(mid)
if target == mid_val:
res = mid
break
elif target < mid_val:
low = mid + 1
else:
high = mid - 1
return res

【leetcode】1095. Find in Mountain Array的更多相关文章

  1. 【LeetCode】697. Degree of an Array 解题报告

    [LeetCode]697. Degree of an Array 解题报告 标签(空格分隔): LeetCode 题目地址:https://leetcode.com/problems/degree- ...

  2. 【LeetCode】Search in Rotated Sorted Array——旋转有序数列找目标值

    [题目] Suppose a sorted array is rotated at some pivot unknown to you beforehand. (i.e., 0 1 2 4 5 6 7 ...

  3. 【LeetCode】Two Sum II - Input array is sorted

    [Description] Given an array of integers that is already sorted in ascending order, find two numbers ...

  4. 【LeetCode】1095. 山脉数组中查找目标值 Find in Mountain Array

    作者: 负雪明烛 id: fuxuemingzhu 个人博客:http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 二分查找 日期 题目地址:https://leetco ...

  5. 【leetcode】Remove Duplicates from Sorted Array

    题目描述: Given a sorted array, remove the duplicates in place such that each element appear only once a ...

  6. 【题解】【数组】【查找】【Leetcode】Search in Rotated Sorted Array

    Suppose a sorted array is rotated at some pivot unknown to you beforehand. (i.e., 0 1 2 4 5 6 7 migh ...

  7. 【LeetCode】Search in Rotated Sorted Array II(转)

    原文链接 http://oj.leetcode.com/problems/search-in-rotated-sorted-array-ii/ http://blog.csdn.net/linhuan ...

  8. 【LeetCode】1005. Maximize Sum Of Array After K Negations 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 小根堆 日期 题目地址:https://leetco ...

  9. 【LeetCode】697. Degree of an Array 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 求出最短相同子数组度的长度 使用堆求最大次数和最小长 ...

随机推荐

  1. MYSQL5.7源码包编译安装

    Centos下用cmake编译安装MySQL 5.7安装依赖包yum -y install gcc gcc-c++ ncurses ncurses-devel cmake下载相应源码包cd /usr/ ...

  2. 中国MOOC_零基础学Java语言_第4周 循环控制

    4.1 for循环 Tips for loops 如果有固定次数,用for 如果必须执行一次,用do_while 其他情况用while 4.2 循环控制 break和continue 在循环前可以放一 ...

  3. Discrete Mathematics and Its Applications | 1 CHAPTER The Foundations: Logic and Proofs | 1.3 Propositional Equivalences

    DEFINITION 1 A compound proposition that is always true,no matter what the truth values of the propo ...

  4. Linux进程状态——top,ps中看到进程状态D,S,Z的含义

    在top和ps命令中有一列显示进程状态,分别有如下值: 值 含义 S 进程处于interruptable sleep状态 D 进程处于Uninterruptable sleep状态 R 进程处于运行状 ...

  5. vue组件注册(极客时间Vue视频笔记)

    vue组件注册 组件是为了方便代码复用,只需引入组件即可在不同的地方使用想同的功能代码 <body> <div class="app"> <todo- ...

  6. 自动构建War包的Ant build.xml模板

    <?xml version="1.0" encoding="UTF-8" ?> <project name="[*****]你的项目 ...

  7. Unix时间戳和Java 的 System.currentTimeMillis()的区别

  8. vue组件化编程应用

    写几个小案例来理解vue的组件化编程思想,下面是一个demo. 效果图示: 功能: Add组件用于添加用户评论,提交后右边评论回复会立马显示数据.Item组件点击删除可以删除当前用户评论.当List组 ...

  9. C++中的深拷贝和浅拷贝构造函数

    1,对象的构造在实际工程开发当中是相当重要的,C++ 中使用类就要创建对象,这 就涉及了对象的构造,本节课讲解对象的构造和内存操作方面的问题: 2,实际工程开发中,bug 产生的根源,必然的会有内存操 ...

  10. Python 入门之 递归

    Python 入门之 递归 1.递归: 递:一直传参 归:返回 (1)不断调用自己本身(无效递归 -- 死递归) def func(): print(1) func() func() (2)有明确的终 ...