Start Discovering Solved Questions and Your Course Assignments
TextBooks Included
Active Tutors
Asked Questions
Answered Questions
algorithm for determining strongly connected components of a graphstrongly connected components gwhere du discovery time of the vertex u throughout
step 1 choose a vertex in the graph and make it the source vertex amp mark it visitedstep 2 determine a vertex which is adjacent to the source vertex
while bfs is applied the vertices of the graph are divided into two categories the vertices that are visited as part of the search amp those vertices
the minimum cost ning tree has broad applications in distinct fields it represents several complicated real world problems such as1 minimum
program segment for all pairs shortest paths algorithmallpairsshortestpathsint n matrix c matrix p matrix dint i j kif i j then cij 0 for i 0
n number of rows of the graphdij cijfor k from 1 to ndo for i 1 to ndo for j 1 to ndij minimum d ij k-1 d ikk-1 d kjk-1enddoenddoenddowhere d
acyclic graphsin a directed graph a path is said to form a cycle is there exists a path abcp such that a p a graph is called acyclic graph if there
the simplest implementation of the dijkstras algorithm stores vertices of set q into an ordinary linked list or array and operation extract-minq is
initialise d amp pifor each vertex v within v g gdv infinity gpiv nilgds 0 set s to empty s 0 q vg while v-s is not nullwhile not
a driver takes shortest possible route to attain destination the problem which we will discuss here is similar to this type of finding shortest route
a connected graph is a graph wherein path exists among every pair of verticesa strongly connected graph is a directed graph wherein every pair of
ning trees a ning tree of a graph g refer to a set of v-1 edges which connect all vertices of the graphthere are different representations of
graph terminologies adjacent vertices two vertices a amp b are said to be adjacent if there is an edge connecting a amp b for instance in given
in this unit we will describe a data structure called graph actually graph is a general tree along no parent-child relationship in computer science
1 preorder postorder and inorder2 the main feature of a binary search tree is that all of the elements whose values is less than the root reside into
in this unit we discussed binary search trees avl trees and b-treesthe outstanding feature of binary search trees is that all of the elements of the
a database is a collection of data organized in a manner that facilitates updation retrieval and management of the data searching an unindexed
operations on b-treesgiven are various operations which can be performed on b-trees search create insertb-tree does effort to minimize disk access
1 in computer science a classic problem is how to dynamically store information so as to let for quick look up this searching problem arises
avl trees are applied into the given situationsthere are few insertion amp deletion operationsshort search time is requiredinput data is sorted or
the advantage of list over arrays is flexibility over flood is not a problem until the computer memory is bushed when the individual record are quite
demonstration of polynomial using linked list include ltstdiohgt include ltmallochgtstruct linkchar sign intcoef int expostruct link
program creation of doubly linked listoutputinput the values of the element -1111 to come out 1input the values of the element -1111 to come out
algorithm deletion of an element from the linked liststep 1 beginstep 2 if the list is empty then element cannot be deletedstep 3 else if
insert functionprototypes of insert amp find functions list insertlistlist list findlist intdefinition of anyinsert function list