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The minimum cost spanning tree has broad applications in distinct fields. It represents several complicated real world problems such as:
1. Minimum distance for travelling all of the cities at most one (travelling salesman problem).
2. In electronic circuit design, in order to connect n pins using n-1 wires, by using least wire.
3. Spanning tree also determines their application obtaining independent set of circuit equations for an electrical network.
Relation between the time and space complexities of an algorithm The examining of algorithm focuses on time complexity and space complexity. As compared to time analysis, the a
Determine the greatest common divisor (GCD) of two integers, m & n. The algorithm for GCD might be defined as follows: While m is greater than zero: If n is greater than m, s
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
A town contains a total of 5000 houses. Every house owner has to pay tax based on value of the house. Houses over $200 000 pay 2% of their value in tax, houses over $100 000 pay 1.
write an algorithm to find the average number of occurances of MECHANIL in an english passage
A company is carrying out a survey by observing traffic at a road junction. Every time a car, bus or lorry passed by road junction it was noted down. 10 000 vehicles were counted d
an electrical student designed a circuit in which the impedence in one part of a series circuit is 2+j8 ohms and the impedent is another part of the circuit is 4-j60 ohm mm program
Explain the bubble sort algorithm. Answer This algorithm is used for sorting a list. It makes use of a temporary variable for swapping. It compares two numbers at an insta
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
The insertion procedure in a red-black tree is similar to a binary search tree i.e., the insertion proceeds in a similar manner but after insertion of nodes x into the tree T, we c
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