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Why is dijkstra's algorithm not suitable for distributed applications with large number of distributed nodes?
"OSPF detects changes in the topology, such as link failures, very quickly and converges on a new loop-free routing structure within seconds. It computes the shortest path tree for each route using a method based on Dijkstra's algorithm, a shortest path first algorithm."
Can you have two polygons having corresponding side lengths that are proportional and can you conclude that the polygons are similar?
No. You could, for example, have a square and a rhombus with sides twice as large.
What is an intractable problem in computer limitations and can give the example?
An intractable problem is one for which there is an algorithm that produces a solution - but the algorithm does not produce results in a reasonable amount of time. Intractable problems have a large time complexity. The Travelling Salesman Problem is an example of an intractable problem.
What do you use to find volume that are shapes and 3 dimensional?
If they are mathematical geometric you can use geometry or calculus.If they are not, but are insoluble, you can immerse them in a suitable fluid and measure the volume of the fluid that is displaced. That method will not work for a large salt crystal, though!If they are mathematical geometric you can use geometry or calculus.If they are not, but are insoluble, you can immerse them in a suitable fluid and measure the volume of the fluid that is displaced. That method will not work for a large salt crystal, though!If they are mathematical geometric you can use geometry or calculus.If they are not, but are insoluble, you can immerse them in a suitable fluid and measure the volume of the fluid that is displaced. That method will not work for a large salt crystal, though!If they are mathematical geometric you can use geometry or calculus.If they are not, but are insoluble, you can immerse them in a suitable fluid and measure the volume of the fluid that is displaced. That method will not work for a large salt crystal, though!
How is experimental probability different from theoretical probability?
The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.
Advantages and disadvantages 4 and 8 connected flood fill algorithm?
Advantages : - very simple - efficiency and correctness Disadvantages : - requires getpixel() system call - not efficient for large polygons - needs a large stack - requires a seed point
Why is dijkstra's algorithm not suitable for distributed applications with large number of distributed nodes?
"OSPF detects changes in the topology, such as link failures, very quickly and converges on a new loop-free routing structure within seconds. It computes the shortest path tree for each route using a method based on Dijkstra's algorithm, a shortest path first algorithm."
How many polygons make one football?
On a football there are two types of polygons - large hexagons and smaller pentagons. The number of polygons it takes to make up the football depends entirely on the size of the ball and the size of the polygons.
Can you have two polygons having corresponding side lengths that are proportional and can you conclude that the polygons are similar?
No. You could, for example, have a square and a rhombus with sides twice as large.
How can the alphadev sorting algorithm be implemented efficiently for large datasets?
The alphadev sorting algorithm can be efficiently implemented for large datasets by using techniques such as parallel processing, optimizing memory usage, and utilizing data structures like heaps or trees to reduce the time complexity of the algorithm. Additionally, implementing the algorithm in a language that supports multithreading or distributed computing can help improve performance for sorting large datasets.
What is a large amount of water overflowing the sides of a river or a drain called?
A Flood.
Large flows of water covering land not usually covered by water?
a Flood
Is there an algorithm that will automatically solve a Rubik's cube?
Such an algorithm is called a 'God algorithm', from the fact that it would only be known by god/the gods. Although many have tried to find it, none have so far discovered it (assuming it exists). To solve a cube by algorithm, you need to know the appropriate algorithm to apply and when in the stages of solving; different sets can use large numbers of algorithm.
Why are flood plains called flood plains?
A plain is basically a large, flat area and flood plains are the large flat areas to either sides of rivers. These areas, when it rains so much that the river bursts its banks, are covered in water: flooded.
How large does a flood cover in the world?
almost the whole state
What is the most efficient sorting algorithm available?
The most efficient sorting algorithm available is the Quick Sort algorithm. It has an average time complexity of O(n log n) and is widely used for its speed and efficiency in sorting large datasets.
What is the time complexity of the knapsack greedy algorithm when solving a problem with a large number of items?
The time complexity of the knapsack greedy algorithm for solving a problem with a large number of items is O(n log n), where n is the number of items.
