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A graph is a mathematical structure giving of a set of vertexes (v1, v2, v3) and a group of edges (e1, e2, e3). An edge is a set of vertexes. The two vertexes are named the edge endpoints. They are used to model real-world machines such as a city road network or the Internet airline connections. The wireframe drawings in computer graphics are another part of graphs.
A graph may be either directed or undirected. Intuitively, an undirected edge models a "duplex" or "two-way" connection between its endpoints, while a directed edge is a one-way connection, and is typically shown as an arrow. A directed edge is often named an arc. Mathematically, an undirected edge is an unordered pair of end points, and an arc is an ordered pair. You may need, why not use a single undirected edge for a two-way street. It's usually simpler and less error-prone to stick with all undirected or all directed edges.
An undirected graph may have at most edges, while a directed graph may have at most edges. A graph is called sparse if it has many lesser than this many edges, and intense if it has closer to edges.
In computer programming, Trees are utilized enormously. These can be utilized for developing database search times (binary search trees, AVL trees, 2-3 trees, red-black trees), Gam
Program segment for the deletion of any element from the queue delmq(i) /* Delete any element from queue i */ { int i,x; if ( front[i] == rear[i]) printf("Queue is
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
1) The set of the algorithms whose order is O (1) would run in the identical time. True/False 2) Determine the complexity of the following program into big O notation:
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Write the algorithm for compound interest
Define a B-Tree Justas AVL trees are balanced binary search trees, B-trees are balanced M-way search trees. A B-Tree of order M is either the empty tree or it is an M-way searc
For splaying, three trees are maintained, the central, left & right sub trees. At first, the central subtree is the complete tree and left and right subtrees are empty. The target
algorithm format
Define Merge Sort Merge sort is a perfect example of a successful application of the divide and conquer method. It sorts a given array A[0...n-l] by separating it into two ha
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