linear search

In most cases it is considerably faster than a linear search.

In the programming language Java, linear search looks like this.

A linear search through up to 4096 addresses would make the coding slow.

The linear search problem for a general probability distribution is unsolved yet.

Computer A, running the linear search program, exhibits a linear growth rate.

The performance of linear search improves if the desired value is more likely to be near the beginning of the list than to its end.

Linear search on a list of n elements.

If each node knows only the location of its successor, a linear search over the network could locate a particular key.

Linear search can also be described as a recursive algorithm:

This is better than a linear search, but worse than a binary search.

Linear search or sequential search is an algorithm to find an item in a list.

Published by Dan Gillespie in 1977, and is a linear search on the cumulative array.

Note performance gains can be achieved by using a binary search rather than a linear search to find the right pocket.

To compare, a basic linear search requires , which is a much worse dependence on .

In some cases galloping mode requires more comparisons than a simple linear search (one at a time search).

To find the exact position of the search key in the list a linear search is performed on the sublist L.

The linear search uses equality only as it compares elements one-by-one from the start, ignoring any sorting.

This avoids a linear search during run-time to find a particular name, but care should be taken to properly maintain this table.

Finding a specific element in a linked list, even if it is sorted, normally requires O(n) time (linear search).

Using a simple linear search on first occurrence and using a cached result thereafter is an obvious compromise.

Either way, asymptotically the worst-case cost and the expected cost of linear search are both O(n).

Linear search, computational time linear in n.

Therefore the worst case running time of a linear search on the list is O(n) independent of the type of list used.

Linear search in an array is usually programmed by stepping up an index variable until it reaches the last index.

The brute-force method for finding an item in a table - namely, check all entries of the latter, sequentially - is called linear search.