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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.
one to many one to one many to many many to one
In the book the following methods are presented: static void selectionSort(Comparable[] list) static void insertionSort(Comparable[] list) static boolean linearSearch(Comparable
that will determine the volume of the sphere or the volume of cone or volume of pyramid depending on the choice of the user
The time needed to delete a node x from a doubly linked list having n nodes is O (1)
* Initialise d & pi* for each vertex v within V( g ) g.d[v] := infinity g.pi[v] := nil g.d[s] := 0; * Set S to empty * S := { 0 } Q := V(g) * While (V-S)
Best Case: If the list is sorted already then A[i] T (n) = c1n + c2 (n -1) + c3(n -1) + c4 (n -1) = O (n), which indicates that the time complexity is linear. Worst Case:
A graph with n vertices will absolutely have a parallel edge or self loop if the total number of edges is greater than n-1
loops
Explain about greedy technique The greedy method suggests constructing a solution to an optimization problem by a sequence of steps, every expanding a partially c
Explain the Memory Function method The Memory Function method seeks to combine strengths of the top down and bottom-up approaches to solving problems with overlapping su
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