# Serial and binary search in java source code

For serial search, the best-case occurs when the target is found at the front of the array, requiring only one array access. This technique is probably the easiest to implement and is applicable to many situations. Pick a random name "Lastname, Firstname" and look it up in your phonebook. Because it has attracted low-quality or spam answers that had to be removed, posting an answer now requires 10 reputation on this site the association bonus does not count.

Ask yourself, should this person be to the left or to the right. The usual approach is to use an array size that is larger than needed. It eliminates half the data at each iteration. The best-case running time is defined as the smallest of all the running times on inputs of a particular size.

But first, we present a simple search method, the serial search and its run-time analysis. The average of all these searches is:. But for binary search the values must be in sorted order. Each record requires a unique value called its key. This is the problem of clustering.

Unfortunately, a perfect hash function cannot always be found. Hashing has a worst-case behavior that is linear for finding a target, but with some care, hashing can be dramatically fast in the average-case. The search stops when the item is found or when the search has examined each item without success. I would like to add one difference- For linear search values need not to be sorted.

We still hash the key of each entry, but upon collision, we simply place the new entry in its proper array component along with other entries that happened to hash to the same array index. Suppose we name our hash function hash. Dictionary analogy is better for me This is the problem of clustering.