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Explain about Franklin Algorithm
We mentioned how the number of possible comparisons of polygons grows as the square of the number of polygons in the scene. Many of the hidden-surface algorithms exhibit this behaviour and have serious performance problems on complex scenes. Franklin developed an approach which gives linear time behaviour for most scenes. This is done by overlaying a grid of cells on the scene (similar to Warnocks approach, only these cells Visual Realism are not subdivided). The size of the cells is on the order of the size of an edge in the scene. At each cell the algorithm looks for a covering face and determines which edges are in front of this face. It then computes the intersections of these edges and determines their visibility. The idea is that as objects are added to the scene and the number of polygons increases, the new objects will either be hidden by objects already in the scene or will hide other objects in the scene. While the number of objects increases, the complexity of the final scene (after hidden portions are removed) does not increase. By considering only the edges in front of the covering face for a cell, the algorithm considers only the edges likely to be in the final image. Although the total number of edges may increase, this increase occurs, for the most part, behind the covering faces, and the number of edges in front will remain small.
Write an algorithm in the form of a flowchart that: inputs top speeds (in km/hr.) of 5000 cars Outputs fastest speed and the slowest speed Outputs average (mean) s
This is the most extensively used internal sorting algorithm. In its fundamental form, it was invented by C.A.R. Hoare in the year of 1960. Its popularity lies in the easiness of i
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the deference between insertion,selection and bubble sort
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P os t - o r d e r T r av er sal : This can be done by both iteratively and recursively. The iterative solution would require a modification or alteration of the in-
Determine about the logic gates Many electronic circuits operate using binary logic gates. Logic gates essentially process signals that represent true or false or equivalent i.
Q. Prove the hypothesis that "A tree having 'm' nodes has exactly (m-1) branches". Ans: A tree having m number of nodes has exactly (m-1) branches Proof: A root
WRITE AN ALGORITHM TO READ TWO NUMBERS AND PRINT THE LOWER VALUE
Give the example of bubble sort algorithm For example List: - 7 4 5 3 1. 7 and 4 are compared 2. Since 4 3. The content of 7 is now stored in the variable which was h
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