MD5 isn't a encryption algorithm, it's a hashing algorithm.
Encryption will 'hide' the meaning of the encrypted text, while MD5 will 'add up' all the text to come up with a number. This number can be compared to another time this file was 'added up', to provide a simple kind of check to see if the text has been changed or if it is the same.
DES is a widely-used method of data encryption using a private key that was judged so difficult to break by the U.S. government that it was restricted for exportation to other countries. There are 72,000,000,000,000,000 (72 quadrillion) possible encryption keys that can be used. For each given message, the key is chosen at random from among this enormous number of keys.
seraching of algorithm is finding an item with specified properties among a collection of items. The items may be stored individually as records in a database; or may be elements of a search space defined by a mathematical formula or procedure, such as the roots of an equation with integer variables; or a combination of the two, such as the Hamiltonian circuits of a graph
No, Dijkstra's algorithm can not be used when there are negative arc lengths. In Dijkstra's, the vertex that can be reached from the current set of labeled vertices and that of having the minimum weight among the alternatives is permanently labeled in that iteration. Since a negative arc weight would result in changing the label of a pre-permanently-labeled vertex, the algo collapses. Bellman's algorithm is used with negative arc lengths.
The question is a bit too vague for a meaningful answer, it depends on what you are searching and what you are looking for.For search in an unsorted list, there is no better alternative than the naive algorithm of looking at every single element.For search in a sorted list (like a phone book sorted on name) binary search is much more efficient.For string search, like used in biology to find DNA matches, there are dedicated algorithms that deal exclusively with string matching.For graph search, A* ("A star") is among the better.For more general search problems there are a whole host of search methods that work better than others in particular domains. But so far, there is no ultimate winner that is best for everything. The best ones are generally custom made for one particular problem, like the best known algorithm for the Travelling Salesman Problem.See also related link.
An algorithm that can find an approximate result quickly when an exact result would be too expensive to calculate.As an example, if you wanted to find the largest number among millions of numbers (and these numbers where somehow very expensive to find or operate on), you could sample a thousand of them, have a look at the statistical distribution of those thousand numbers, and say that the maximum among all the numbers is within such-and-such a range with such-and-such probability.You could say that a public poll uses an approximation algorithm - instead of asking everyone in the country, you ask a small sample and extrapolate from the result using statistical methods.See related link.
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