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Depth-first traversal
A depth-first traversal of a tree visit a node and then recursively visits the subtrees of that node. Likewise, depth-first traversal of a graph visits a vertex and then recursively visits all the vertices adjacent to that node. The catch is that the graph may having cycles, but the traversal must visit each vertex at most once. The solution to the problem is to keep track of the nodes that have been visited, so that the traversal does not undergo the fate of infinite recursion.
H o w can you r ot a t e a B i n a r y Tr e e? E x pl a i n r i g h t a n d l eft r ot a tion s by taking an e x a mpl e. If after
The best algorithm to solve a given problem is one that requires less space in memory and takes less time to complete its execution. But in practice it is not always possible to
Operation of Algorithm The following sequence of diagrams shows the operation of Dijkstra's Algorithm. The bold vertices show the vertex to which shortest path has been find ou
INSERT FUNCTION /*prototypes of insert & find functions */ list * insert_list(list *); list * find(list *, int); /*definition of anyinsert function */ list * inser
Arrays :- To execute a stack we need a variable called top, that holds the index of the top element of stack and an array to hold the part of the stack.
Binary Search Tree usage: Write a program to compare the time taken for a search in a skewed tree, a balanced tree, and a random tree. Speci cally, your program should do the
1. Using the traditional method of CPM: a. What activities are on the critical path? b. What is the expected total lead time of the project? 2. Using CCPM: a. What
Explain State Space Tree If it is convenient to execute backtracking by constructing a tree of choices being made, the tree is known as a state space tree. Its root indicates a
What is algorithm's Optimality? Optimality is about the complexity of the problem that algorithm solves. What is the minimum amount of effort any algorithm w
Each of the comparison in the binary search decrease the number of possible candidates where the key value can be searched by a factor of 2 as the array is divided into two halves
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