Problem Given two Linked Lists, create union and intersection lists that contain union and intersection of the elements present in the given lists. Order of elments in output lists doesn’t matter.
Example Input: List1: 10->15->4->20 lsit2: 8->4->2->10 Output: Intersection List: 4->10 Union List: 2->8->20->4->15->10 Solution Method 1 - Simple
Following are simple algorithms to get union and intersection lists respectively.
Intersection (list1, list2)
Initialize result list as NULL. Traverse list1 and look for its each element in list2, if the element is present in list2, then add the element to result.
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Union and Intersection of two sorted arrays
Problem Find Union and Intersection of two sorted arrays
Example For example, if the input arrays are:
arr1[] = {1, 3, 4, 5, 7}
arr2[] = {2, 3, 5, 6}
Then your program should print Union as {1, 2, 3, 4, 5, 6, 7} and Intersection as {3, 5}.
Solution Algorithm Union(arr1[], arr2[]):
For union of two arrays, follow the following merge procedure.
Use two index variables i and j, initial values i = 0, j = 0 If arr1[i] is smaller than arr2[j] then print arr1[i] and increment i.
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Given two strings str1 and str2, write code to find out if all non-unique elements in str2 are in str1?
Problem Given two strings str1 and str2, write code to find out if all non-unique elements in str2 are in str1?
Solution Method 1 - Using hashset on str2 and boolean array or hashset on str2
Break down the problem into two tasks.
i) Finding the non-unique i.e. repeating elements in str 1. Hashing can be used for this purpose.
ii) Finding if all the characters hashed in the first string are available in the second string.
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Algorithm Interview Questions - Set 1
A period of time where users login and logout, given a sets of login and logout time pairs, write a function that can show the number of users online at any given time. Intersection of n sets without using a hash table. Implement a LRU(Least Recently Used) cache Implement a function to compute cubic root
what is the time complexity? Given a matrix with 1′s and 0′s, find the number of groups of 1′s.
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Design Questions - Set 1
Design a game of chess Given an ebay site model., you have to deal with auctioning of a particular item. Design the billing & auctioning system of the same. OOPs design of a file system Class diagram of a system to implement Blackjack Class diagram of a parking lot design a furniture module, a furniture could be a couch, chair, etc. each furniture could contain multiple materials, wood, steel, etc.
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Given an array arr[], find the maximum j – i such that arr[j] > arr[i]
Nice Example … visit more
Shivam Kumar - Dec 5, 2015
Nice Example … visit more Java examples
Thanks Java Proficiency. But the problem that you have provided is not same as above problem. Regards.
Given an array arr[], find the maximum j – i such that arr[j] > arr[i]
Problem Given an array arr[], find the maximum j – i such that arr[j] > arr[i].
Example Input: {34, 8, 10, 3, 2, 80, 30, 33, 1} Output: 6 (j = 7, i = 1) Input: {9, 2, 3, 4, 5, 6, 7, 8, 18, 0} Output: 8 ( j = 8, i = 0) Input: {1, 2, 3, 4, 5, 6} Output: 5 (j = 5, i = 0) Input: {6, 5, 4, 3, 2, 1} Output: -1 Solution Method 1 (Simple but Inefficient)
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Finding IP Address from hostname in Windows Linux and Unix
IP Address from hostname in Windows and Linux
How many times in a day you have a hostname and you want to know the IP address? Host name to IP address and IP address to hostname conversion is one of frequent thing which we need to do for many things when dealing with networking command in unix. For one command we need IP address for other we need hostname even from bash script some time we require hostname and some time we look for IP address.
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Skiplist vs Binary tree
Here are some of the differences
Skiplist
Binary tree
Concurrency - Skip lists are more amenable to concurrent access/modification. Inserting a node into a skip list is far more localized, only nodes directly linked to the affected node need to be locked. pressure.
The most frequently used implementation of a binary search tree is a red-black tree. The concurrent problems come in when the tree is modified it often needs to rebalance.
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Skiplists
Goal
To understand skiplist.
Definition
Skiplist is a dynamic search structure, as it is dynamic when it comes to insertion and deletion, which supports search).
Other dynamic search structure:
Treaps Red black tree B-Trees (2-3 trees etc) Operations on skiplist
Search - O(log n) Insert - O(log n) Delete - O(log n) These operations are with high probability, 1/polynomial depending on polynomial number of operation.
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