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What do we mean by algorithm? What are the characteristics of a good and relevant algorithm?
An algorithm is "a step-by-step procedure for finishing some task'' An algorithm can be specified in many ways. For example, it can be written down in English (or French, or any other language). However, we are interested in algorithms which have been specifically specified using an appropriate mathematical formalism--such as a programming language.
Each and Every algorithm should have the following five characteristics:
1.Input characteristics: The algorithm should be taking zero or more input.
2. Output characteristics: The algorithm should be producing one or more outputs.
3. Definiteness characteristics: All the steps of algorithm should be defined unambiguously.
4. Effectiveness characteristics: A person should be able to calculate the values involved in the process of the algorithm using paper and pencil.
5. Termination characteristics: An algorithm must terminate after a finite number of steps which means it should not be infinite.
There are three typical ways of recursively traversing a binary tree. In each of these, the left sub-trees & right sub-trees are visited recursively and the distinguishing feature
Illustrate the Visual realism applications a) Robot Simulations : Visualization of movement of their links and joints and end effector movement etc. b) CNC programs ver
Painter's Algorithm As the name suggests, the algorithm follows the standard practice of a painter, who would paint the background (such as a backdrop) first, then the major d
what is algorithim?
This notation gives an upper bound for a function to within a constant factor. Given Figure illustrates the plot of f(n) = O(g(n)) depend on big O notation. We write f(n) = O(g(n))
Ans: I nsertion into the B-tree: 1. First search is made for the place where the new record must be positioned. As soon as the keys are inserted, they are sorted into th
B i n a ry Search Algorithm is given as follows 1. if (low > high) 2. return (-1) 3. mid = (low +high)/2; 4. if ( X = = a [mid]) 5. return (mid); 6.
The complexity Ladder: T(n) = O(1). It is called constant growth. T(n) does not raise at all as a function of n, it is a constant. For illustration, array access has this c
An adjacency matrix representation of a graph cannot having information of : Parallel edges
what do we use asymptotic notation in study of algorithm?Describe various asymptotic notation and give their significance.
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