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Algorithm for determining strongly connected components of a Graph:
Strongly Connected Components (G)
where d[u] = discovery time of the vertex u throughout DFS , f[u] = finishing time of a vertex u throughout DFS, GT = Transpose of the adjacency matrix
Step 1: Use DFS(G) to calculate f[u] ∀u∈V
Step 2: calculate GT
Step 3: Execute DFS in GT
Step 4: Output the vertices of each of tree within the depth-first forest of Step 3 as a separate strongly connected component.
write an algorithm and draw a flowchart to calculate the perimeter and area of a circle
List areutilized to maintainPOLYNOMIALS in the memory. For example, we have a functionf(x)= 7x 5 + 9x 4 - 6x³ + 3x². Figure depicts the representation of a Polynomial by means o
Step 1: Choose a vertex in the graph and make it the source vertex & mark it visited. Step 2: Determine a vertex which is adjacent to the source vertex and begun a new search if
Ask consider the file name cars.text each line in the file contains information about a car ( year,company,manufacture,model name,type) 1-read the file 2-add each car which is repr
State the Introduction to pseudocode No specific programming language is referred to; development of algorithms by using pseudocode uses generic descriptions of branching, loop
In order to analyze an algorithm is to find out the amount of resources (like time & storage) that are utilized to execute. Mostly algorithms are designed to work along with inputs
implement multiple stack in single dimensionl array.write algorithms for various stack operation for them
Example of Area Subdivision Method The procedure will be explained with respect to an illustrative problem, with the image consisting of five objects, namely a triangle (T), qu
characteristics of a good algorithm
Time Complexity, Big O notation The amount of time needed by an algorithm to run to its completion is referred as time complexity. The asymptotic running time of an algorithm i
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