9.1 You are given two sorted arrays, A and B, and A has a large enough buffer at the end to hold B. Write a method to merge B into A in sorted order.

A has enough buffer at the end to hold B, we can merge two arrays from end to start index, like merge two arrays in merge sort algorithm.

void mergeTwoArray(int A[],int m,int B[],int n){

int k=m+n-1;

m--;n--;

while(m>=0&&n>=0){

if(A[m]>=B[n])A[k--]=A[m--];

else A[k--]=B[n--];

}

while(m>=0)A[k--]=A[m--];

while(n>=0)A[k--]=B[n--];

}

9.2 Write a method to sort an array of strings so that all the anagrams are next to each other.

Based on basic sort function, we define a cmp function to decide how to sort. Here, we compare theirs anagrams' state.

int cmp(string s1,string s2){

sort(s1.begin(),s1.end());

sort(s2.begin(),s2.end());

if(s1<s2)return 1;

else return 0;

}

void sortStrings(vector<string> &strs){

sort(strs.begin(),strs.end(),cmp);

}

**9.3 Given a sorted array of n integers that has been rotated an unknown number of times, give an O(log n) algorithm that finds an element in the array. You may assume that the array was originally sorted in increasing order.

EXAMPLE:

Input: find 5 in array (15 16 19 20 25 1 3 4 5 7 10 14)

Output: 8 (the index of 5 in the array)

like binary search, we declare left/mid/right variables to represent current array part, because the array is rotated, we will have 8 states as following: k is the goal data.

k<a[mid],k<a[left],k<a[right], in this condition, right=mid-1 || left=mid+1, for we cannot make sure which part including rotated part.

k<a[mid],k<a[left],k>a[right], in this condition, left=mid+1;

k<a[mid],k>a[left],k<a[right], in this condition, right=mid-1;

k<a[mid],k>a[left],k>a[right], in this condition, right = mid-1;

k>a[mid],k<a[left],k<a[right], in this condition, left=mid+1;

k>a[mid],k<a[left],k>a[right], in this condition, right=mid-1;

k>a[mid],k>a[left],k<a[right], in this condition, left=mid+1;

k>a[mid],k>a[left],k>a[right], in this condition, left=mid+1 || right=mid-1;

int findIndex(int a[],int left,int right,int k){
if(left>right)return -1;
int mid=left+(right-left)/2;
if(k==a[mid])return mid;
else if(k==a[left])return left;
else if(k==a[right])return right;
else if(k<a[mid]){
if(k<a[left]){
if(k<a[right]){
int temp=findIndex(a,left,mid-1,k);
if(temp!=-1)return temp;
return findIndex(a,mid+1,right,k);
}else{
return findIndex(a,mid+1,right,k);
}
}else if(k>a[left]){
return findIndex(a,left,mid-1,k);
}
}else if(k>a[mid]){
if(k>right){
if(k>left){
int temp=findIndex(a,left,mid-1,k);
if(temp!=-1)return temp;
return findIndex(a,mid+1,right,k);
}else{
return findIndex(a,left,mid-1,k);
}
}else{
return findIndex(a,mid+1,right,k);
}
}
return -1;
}
int search(int A[], int n, int target) {
return findIndex(A,0,n-1,target);
}

Method2: not only compare target with a[left/mid/right], we compare a[left]/a[mid]/a[right] to decide which part has rotated part.

k<mid,left<mid,k<left, in this condition, left=mid+1

k<mid,left<mid,k>left, in this condition, right=mid-1

k<mid,left>mid, in this condition, right=mid-1

k>mid,left<mid, in this condition, left=mid+1

k>mid,left>mid,k>right, in this condition, right=mid-1

k>mid,left>mid,k<right, in this condition, left=mid+1

int search(int A[],int n,int target){

int left=0,right=n-1,mid;

while(left<=right){

mid=left+(right-left)/2;

if(A[mid]==target)return mid;

else if(target<A[mid]){

if(A[left]<=A[mid]){

if(target<A[left])left=mid+1;

else right=mid-1;

}else right=mid-1;

}else{

if(A[left]>A[mid]){

if(target<=A[right])left=mid+1;

else right=mid-1;

}else left=mid+1;

}

}

return -1;

}

9.4 If you have a 2 GB file with one string per line, which sorting algorithm would you use to sort the file and why?

external sort. Divide to N parts, sort each part, then N-way merge.

9.5 Given a sorted array of strings which is interspersed with empty strings, write a method to find the location of a given string.

Example: find “ball” in [“at”, “”, “”, “”, “ball”, “”, “”, “car”, “”, “”, “dad”, “”, “”] will return 4

Example: find “ballcar” in [“at”, “”, “”, “”, “”, “ball”, “car”, “”, “”, “dad”, “”, “”] will return -1

we do it based on binary search, first, we traverse the front part and the back part to make true left index and right index pointing to a no-empty string. Then we find mid index, if strs[mid]=="", we traverse mid to right
then to left to find the first no-empty string, this index is the mid index and do it like binary search.

int searchStrs(vector<string> strs,string target){

if(target==""||strs.size()==0)return -1;

int left=0,right=strs.size()-1,mid;

while(left<=right){

while(strs[left]==""&&left<right)left++;

while(strs[right]==""&&right>left)right--;

mid=left+(right-left)/2;

if(strs[left]==target)return left;

if(strs[right]==target)return right;

if(strs[mid]==""){

for(int i=mid+1;i<right;i++){if(strs[i]!="")break;}

if(i!=right)mid=i;

else{

for(int i=mid-1;i>left;i--){if(strs[i]!="")break;}

if(i!=left)mid=i

else return -1;

}

}

if(strs[mid]==target)return mid;

else if(strs[mid]<target)left=mid+1;

else if(strs[mid]>target)right=mid-1;

}

}

return -1;

}

9.6 Given a matrix in which each row and each column is sorted, write a method to find an element in it.

the matrix is sorted in rows and columns, let's assume it is a m*n matrix, we begin at matrix[0][n-1], if target< current, we move down, if target>current, we move left, if(target ==current) we find it, if we move out
of the matrix, the element isn't in it.

time complexity is O(n+m).

int rowAndColumn(vector<vector<int> > matrix,int target){

int m=matrix.size();if(m==0)return -1;

int n=matrix[0].size();if(n==0)return -1;

int x=0,y=n-1;

while(x<m&&y>=0){

if(matrix[x][y]==target)return x*n+y;

else if(matrix[x][y]>target)y--;

else if(matrix[x][y]<target)x++;

}

return -1;

}

9.7 A circus is designing a tower routine consisting of people standing atop one another’s shoulders. For practical and aesthetic reasons, each person must be both shorter and lighter than the person below him or her. Given the
heights and weights of each person in the circus, write a method to compute the largest possible number of people in such a tower.

EXAMPLE:

Input (ht, wt): (65, 100) (70, 150) (56, 90) (75, 190) (60, 95) (68, 110)

Output: The longest tower is length 6 and includes from top to bottom: (56, 90) (60,95) (65,100) (68,110) (70,150) (75,190)

we first sort all people by their height, then find the longest ascending sequence of their wight.

struct People{

int height;

int weight;

};

int cmp(People* p1,People* p2){

if(p1->height<p2->height)return 1;

else return 0;

}

int largestNum(vector<People*> peos){

if(peos.size()==0)return 0;

sort(peos.begin(),peos.end(),cmp);

int *f = new int[peos.size()];

int maxNum=0;

for(int i=0;i<peos.size();i++){

f[i]=1;

for(int j=0;j<i;j++){

if(peos[j]->weight<peos[i]->weight){

f[i]=max(f[i],f[j]+1);

}

}

maxNum=(maxNum>f[i]?maxNum:f[i]);

}

return maxNum;

}

CareerCup Chapter 9 Sorting and Searching的更多相关文章

  1. Algorithm in Practice - Sorting and Searching

    Algorithm in Practice Author: Zhong-Liang Xiang Date: Aug. 1st, 2017 不完整, 部分排序和查询算法, 需添加. Prerequisi ...

  2. 20162314 Experiment 3 - Sorting and Searching

    Experiment report of Besti course:<Program Design & Data Structures> Class: 1623 Student N ...

  3. Chp11: Sorting and Searching

    Common Sorting Algo: Bubble Sort: Runime: O(n2) average and worst case. Memory: O(1). void BubbleSor ...

  4. [Java in NetBeans] Lesson 15. Sorting and Searching.

    这个课程的参考视频和图片来自youtube. 主要学到的知识点有: Build in functions in java.util.Collections Need to implement a co ...

  5. Careercup | Chapter 1

    1.1 Implement an algorithm to determine if a string has all unique characters. What if you cannot us ...

  6. Careercup | Chapter 3

    3.1 Describe how you could use a single array to implement three stacks. Flexible Divisions的方案,当某个栈满 ...

  7. Careercup | Chapter 2

    链表的题里面,快慢指针.双指针用得很多. 2.1 Write code to remove duplicates from an unsorted linked list.FOLLOW UPHow w ...

  8. Careercup | Chapter 8

    8.2 Imagine you have a call center with three levels of employees: respondent, manager, and director ...

  9. Careercup | Chapter 7

    7.4 Write methods to implement the multiply, subtract, and divide operations for integers. Use only ...

随机推荐

  1. zendstudio正则匹配查询

    Ctrl+H之后,显示的File Search标签页为Containing text. Alt+/ 帮助提示正则匹配的语法. 例子如下: select type from table where id ...

  2. IE下判断IE版本的语句

    <!--[if lte IE 6]> <![endif]--> IE6及其以下版本可见   <!--[if lte IE 7]> <![endif]--> ...

  3. json数据返回

    <script type="text/javascript"> function xmlpage(){ var xhr=new XMLHttpRequest(); xh ...

  4. 武汉科技大学ACM:1006: 我是老大

    Problem Description 今年是2021年,正值武汉科技大学 ACM俱乐部成立10周年.十周年庆祝那天,从ACM俱乐部走出去的各路牛人欢聚一堂,其乐融融.庆祝晚会上,大家纷纷向俱乐部伸出 ...

  5. jQuery自学笔记(二):jQuery选择器

    一.简单选择器 ID选择器:$('#box') 元素标签名:$('div') 类选择器:$('.box') jQuery提供了length和size()两种方法查看返回的元素,可验证ID在页面只出现一 ...

  6. HTML5 canvas中的路径方法

    路径方法 fill()                                填充当前绘图(路径) stroke()                        绘制已定义的路径 begin ...

  7. jquery上传控件个人使用

    转了一篇jquery的上传控件使用博文,但是,经过测试貌似不行,自己研究了一下,效果实现.记下,以后使用. 下载“Uploadify”,官方版本为php的,很多文件不需要,删除带.php的文件. &l ...

  8. php resizeimage 部分jpg文件 生成缩略图失败

    今天遇到GD的resizeimage 函数处理jpg后缀文件的缩略图的时候 提示该图片不是合法的jpg图片并报错 <b>Warning</b>: imagecreatefrom ...

  9. [Python笔记]第一篇:基础知识

    本篇主要内容有:什么是python.如何安装python.py解释器解释过程.字符集转换知识.传参.流程控制 初识Python 一.什么是Python Python是一种面向对象.解释型计算机程序设计 ...

  10. D3js初探及数据可视化案例设计实战

    摘要:本文以本人目前所做项目为基础,从设计的角度探讨数据可视化的设计的方法.过程和结果,起抛砖引玉之效.在技术方案上,我们采用通用web架构和d3js作为主要技术手段:考虑到项目需求,这里所做的可视化 ...