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Question 1 Explain the use of algorithms in computing Question 2 Explain time complexity and space complexity of an algorithm Question 3 Explain how you can analyz
Q. By giving an example show how multidimensional array can be represented in one the dimensional array.
Ways to implement abstract data types A large part of the study of data structures and algorithms is learning about alternative ways to implement an ADT and evaluating alternat
write a algorithsm in c to perform push and pop operations stastic implementation using array ?
Time Complexity, Big O notation The amount of time needed by an algorithm to run to its completion is referred as time complexity. The asymptotic running time of an algorithm i
Linked List A linked list is a linear collection of data elements called nodes. The linear order is given by pointer. Every node is divided into 2 or more parts.
Q. Prove the hypothesis that "A tree having 'm' nodes has exactly (m-1) branches". Ans: A tree having m number of nodes has exactly (m-1) branches Proof: A root
Merge sort: Merge sort is a sorting algorithm that uses the idea of split and conquers. This algorithm splits the array into two halves, sorts them separately and then merges t
Inorder traversal: The left sub tree is visited, then the node and then right sub-tree. Algorithm for inorder traversal is following: traverse left sub-tree visit node
In internal sorting, all of the data to be sorted is obtainable in the high speed main memory of the computer. We will learn the methods of internal sorting which are following:
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