To make technologies simpler
by Linked List is a data structure used for storing collection of data where successive elements are connected through pointers and the size of linked list can grow or shrink dynamically.
In short, Linked list can be thought as similar to array in which traversal can happen through pointers instead of indexes. Before going ahead have a look into Linked List Basics and Linked List Implementation.
by Linked List is a data structure used for storing collection of data where successive elements are connected through pointers and the size of linked list can grow or shrink dynamically.
In short, Linked list can be thought as similar to array in which traversal can happen through pointers instead of indexes. Before going ahead have a look into Linked List Basics and Linked List Implementation.
by Linked List is a data structure used for storing collection of data where successive elements are connected through pointers and the size of linked list can grow or shrink dynamically.
In short, Linked list can be thought as similar to array in which traversal can happen through pointers instead of indexes. Before going ahead have a look into Linked List Basics and Linked List Implementation.
by Linked List is a data structure used for storing collection of data where successive elements are connected through pointers and the size of linked list can grow or shrink dynamically.
In short, Linked list can be thought as similar to array in which traversal can happen through pointers instead of indexes. Before going ahead have a look into Linked List Basics and Linked List Implementation.
by Linked List is a data structure used for storing collection of data where successive elements are connected through pointers and the size of linked list can grow or shrink dynamically.
In short, Linked list can be thought as similar to array in which traversal can happen through pointers instead of indexes. Before going ahead have a look into Linked List Basics and Linked List Implementation.
by Linked List is a data structure used for storing collection of data where successive elements are connected through pointers and the size of linked list can grow or shrink dynamically.
In short, Linked list can be thought as similar to array in which traversal can happen through pointers instead of indexes. Before going ahead have a look into Linked List Basics and Linked List Implementation.
by The longest increasing sub sequence (LIS) is the problem in which we need to find out the length of the longest increasing sub sequence in the given sequence. In this case, numbers doesn’t require to be in consecutive places.
For eg:
The length of LIS in the sequence {1, 2, 2, 5, 8, 6, 3, 6, 9, 7} is 7 and the longest increasing sub sequence is {1, 2, 2, 5, 6, 6, 7}
by The longest subsequence problem (LCS) is the problem in which we need to find the longest subsequence present in two sequences. In this case, characters doesn’t require to be in consecutive places.
For eg:
LCS for sequence “ABCDFG” and “ABCGDFG” is “ABCDFG” and its length is 6.
For calculating longest common subsequence length we can use recursion or dynamic programming, here we are going to see how to find the longest common subsequence string.
(more…)by This problem can be solved using multiple approaches but here we will solve this problem using Dynamic Programming and showcase how dynamic programming will make the execution super-fast.
We will go through with the same steps as mentioned in Dynamic Programming post to tackle this problem step by step for better understanding.
Let’s explain the problem,
The longest subsequence problem (LCS) is the problem in which we need to find the longest subsequence present in two sequences. In this case, characters doesn’t require to be in consecutive places.
For eg:
LCS for sequence “ABCDFG” and “ABCGDFG” is “ABCDFG” and its length is 6.
Let’s apply the 3 Steps rule (Dynamic Programming) to tackle this problem.
by This is a very standard which is being asked in many interview questions. Here we are going to write the program in C which will convert Roman numbers into decimal number up to 3999 values. Before going ahead let’s revise what each roman literals means:
M = 1000
D = 500
C = 100
L = 50
X = 10
V = 5
I = 1