simple graph is a graph without self loop and parallel edges
raduis of amper loop is greater than than the radius of its own toriod..than this toriod is called ideal toriod
A closed path is a continuous route in which the starting point and the endpoint are the same, forming a loop without any breaks. In mathematics and computer science, it often refers to a circuit or a polygon that encloses an area. Closed paths are significant in various fields, including geometry, graph theory, and physics, where they can represent cycles or loops in systems.
Most jewelers use a commonly available 10x loop to look closely at a stone. A gemologist or someone cutting a stone would probably use a higher magnification. The best loop is one that gives you the field of vision that you need to inspect a diamond.
amity assignment question
Ring topology
A tree is a specialized case of a graph. A tree is a connected graph with no circuits and no self loops. A graph consists of 3 sets - vertices, edges and a set representing relations between vertices and edges i.e. v = (a, b, c) e = (e1, e2, e3) and x = ((a,b,e1), (b,c,e2), (a,c,e3)) represents a graph where e1 joins a and b and so on. A circuit is alternating sequence of edges and vertices where in edges are not repeated, vertices may be and starting and ending vertices are the same e.g. a e1 b e2 c e3 a means a connected to b, b to c and c to a. This forms a loop. A self loop is a vertex looping on to itself. As a tree does not contain any loops and is still connected, it is also called a minimally connected graph i.e. there is just one path between any 2 vertices.
parallel circuitsThey could be called twin-loop circuits but it isn't a term in common use.
when a graph is given ,select a tree.when the link is replaced a loop is formed.This loop is known as Tieset. Orientation of tieset is given by the orientation of the graph.
Parallel processing in Python can be implemented using the multiprocessing module. By creating multiple processes within a for loop, each process can execute a task concurrently, allowing for parallel processing.
parallel circuitsThey could be called twin-loop circuits but it isn't a term in common use.
Python parallel processing within a for loop can be implemented using the concurrent.futures module. By creating a ThreadPoolExecutor and using the map function, you can execute multiple tasks concurrently within the for loop. This allows for faster execution of the loop iterations by utilizing multiple CPU cores.
Inner loop.
Outer loop.
A = 5do{statement;A = A + 1;} while (A < 10)
The do while loop is also called an exit condition loop in c, c++, and java.
No reason. It is a post-test loop.
To efficiently utilize the run for loop in parallel in Python, you can use the concurrent.futures module to create a ThreadPoolExecutor or ProcessPoolExecutor. This allows you to run multiple iterations of the loop concurrently, optimizing the execution of your code by utilizing multiple CPU cores.