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Algorithm Discovery Strategies (I). Of course, being told to walk in the door is not the same as being told how to do it. Getting this to see, and to see how you can extend this first goal into a complete solution to the problem, requires smart input from a troubleshooter. There are, however, a few common ways they have polya and others suggested how one could walk through the door. VU PAST PAPERS BY MOAAZ MID TERM

Another to try to fix the problem back. For example, if the problem is finding a way to produce a particular output

from a given input, one can start with the output and try to make a backup copy of the provided input. This way it is common for people trying to find an algorithm to wrap birds in a previous section. They often appear a finished bird trying to see how it was built. VU PAST PAPERS BY MOAAZ MID TERM

Another common way to solve problems is to look for a related problem that may be easier to solve or has been resolved before and you can try to apply its solution to the current problem. This process is a certain amount in the case of system development. In general, system development is not a process to solve a specific problem incident but instead find a common algorithm that can be used to solve all problem situations. Precisely, if we were in the business of making a plan with an alphabetical listing of words, our task will not be to filter a specific list but to find a common algorithm. VU PAST PAPERS BY MOAAZ MID TERM

Which can be used to filter any list of words. So, although the instructions

1. Swap words for David and Alice.

2. Move the name Carol to the space between Alice and David.

3. Move the word Bob and place it between Alice and Carol. Neatly list David, Alice, Carol, and Bob, not compiling a common purpose algorithm we wish. What we need is an algorithm that can filter this list and any other list we might face. VU PAST PAPERS BY MOAAZ MID TERM

This is not to say that our list filtering solution is completely useless in our search for a common purpose algorithm. For example, we may open the door to consider such special circumstances in the area try to find common principles that can be used to improve the desired general algorithm. In this case, our solution lies in solving a set of related problems. VU PAST PAPERS BY MOAAZ MID TERM

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**Algorithm Discovery Strategies (II). **Another way to get a foot in the door is to use stepwise refinement, which is the method the process of not trying to master every task (in all its details) at once. Instead, it is gradually refined suggests that one first look at the existing problem in terms of a few minor problems. The idea is that by breaking the first problem into smaller problems, one is able to approach a complete solution in terms of steps, each of which is easier to solve than the first problem. VU PAST PAPERS BY MOAAZ MID TERM

Next, the refinement that follows the steps suggests that these steps are broken down into smaller steps and these small steps are broken down into smaller ones until every problem has been reduced to a series of small problems that are easily solved. In this light, the refinement that follows the steps is a way of going up and down as it progresses from normal to normal. VU PAST PAPERS BY MOAAZ MID TERM

In contrast, a downward spiral progresses from one thing to another. Although Compared to theory, these two approaches are often complementary in problem-solving. The decay of the problem proposed by the high-down method of step-by-step refinement is often directed in the sense of a problem solver, which may be working in an advanced mode. VU PAST PAPERS BY MOAAZ MID TERM

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