N/2
Linear search takes linear time with a worst case of O(n) for n items, and an average of O(n/2). Binary search takes logarithmic time, with a worst and average case of O(n log n). Binary search is therefore faster on average.
There is no such thing as an insertion search. There is only insertion sort, which is a method of sorting an unsorted list. Sequential search (or linear search) is only used with unsorted lists. If the list is sorted, a logarithmic search is quicker, by starting from the middle. If the items is not here, it must be in the lower half or the upper half, thus one half of the list can be discarded. You then repeat by starting in the middle of the remaining half. Thus for a list of 15 items, you end up with a list of 7, then 3, then 1, then 0. Thus it takes 5 comparisons to determine that an item does not exist. With linear search it would take 15 comparisons to determine that an item does not exist. Thus logarithmic search is quicker, but only works with sorted lists.
To access a particular data item in a sequential file, you need to read in all items in the file prior to the item of interest. This works acceptably well for small data files of unstructured data, but for large, structured files, this process is time-consuming and wasteful. Sometimes, we need to access data in non-sequential ways. Files which allow non-sequential access are random access files.
A Binary Search is a technique for quickly locating an item in a sequential list.A Sequential Search is a procedure for searching a table that consists of starting at some table position (usually the beginning) and comparing the file-record key in hand with each table-record key, one at a time, until either a match is found or all sequential positions have been searched.
When sequentially searching n items, the best-case is O(1) and the worst-case is O(n). But when the items are sorted, binary search will improve efficiency. The best case is still O(1), but worst case drops to O(log n) where log n is the binary logarithm of n. Binary search starts with the middle element of the set. If the set is empty, the item we're looking for does not exist but if the middle element is the item we are looking for then we are done. If not, a simple comparison will tell us in which half of the set to discard (including the middle element). We repeat the process with the remaining half. If there are no elements remaining, the item does not exist.
Searching 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 A Binary Search is a technique for quickly locating an item in a sequential list. A Sequential Search is a procedure for searching a table that consists of starting at some table position (usually the beginning) and comparing the file-record key in hand with each table-record key, one at a time, until either a match is found or all sequential positions have been searched. BY PANKAJ BHATT (warrior2pnk)
It would take a long time
The only items suitable for a binary search are those which are in a sorted order.
Spain was the first European country to establish a successful trade in luxury items.
Linear search takes linear time with a worst case of O(n) for n items, and an average of O(n/2). Binary search takes logarithmic time, with a worst and average case of O(n log n). Binary search is therefore faster on average.
delete
There is no such thing as an insertion search. There is only insertion sort, which is a method of sorting an unsorted list. Sequential search (or linear search) is only used with unsorted lists. If the list is sorted, a logarithmic search is quicker, by starting from the middle. If the items is not here, it must be in the lower half or the upper half, thus one half of the list can be discarded. You then repeat by starting in the middle of the remaining half. Thus for a list of 15 items, you end up with a list of 7, then 3, then 1, then 0. Thus it takes 5 comparisons to determine that an item does not exist. With linear search it would take 15 comparisons to determine that an item does not exist. Thus logarithmic search is quicker, but only works with sorted lists.
use your favorite search engine, for example Google.com and type in the search "free items". I'm sure you can get something from that
to search for information and other items that are of importance or not so
Linear search, also known as sequential search, is a process that checks every element in the list sequentially until the desired element is found. The computational complexity for linear search is O(n), making it generally much less efficient than binary search (O(log n)). But when list items can be arranged in order from greatest to least and the probabilities appear as geometric distribution (f (x)=(1-p) x-1p, x=1,2),then linear search can have the potential to be notably faster than binary search.
C.Weapons, and ammunition, items of intelligence value, and identification cards.
C.Weapons, and ammunition, items of intelligence value, and identification cards.