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If the data is stored on a magnetic tape where seek time depends on the current head position, a tradeoff between longer seek time and more comparisons may lead to a search algorithm that is skewed similarly to Fibonacci search. Fibonacci search is derived from Golden section search, an algorithm by Jack Kiefer (1953) to search for the maximum ...
So Fibonacci search would require, on average, about 4% more comparisons than binary search (on large input files). Cache effects (see my other comment below) may well lead to more than 4% acceleration, so fibonacci search may be faster in practice.
A recursive Fibonacci algorithm on a 1.8 GHz Intel Centrino laptop with 512 MB RAM yields a noticeable difference in results between Microsoft Visual C++ compiler 13.10.3052 and TCC. To calculate the 49th Fibonacci number, it took a MS Visual C++ program approximately 18% longer than the TCC compiled program. [citation needed]
Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...
Moreover, unlike a binary search tree, most of this space is being used to store data: even for billions of elements, the pointers in a full vEB tree number in the thousands. The implementation described above uses pointers and occupies a total space of O(M) = O(2 m), proportional to the size of the key universe. This can be seen as follows.
In data compression, a universal code for integers is a prefix code that maps the positive integers onto binary codewords, with the additional property that whatever the true probability distribution on integers, as long as the distribution is monotonic (i.e., p(i) ≥ p(i + 1) for all positive i), the expected lengths of the codewords are ...
To search for a given key value, apply a standard binary search algorithm in a binary search tree, ignoring the priorities. To insert a new key x into the treap, generate a random priority y for x. Binary search for x in the tree, and create a new node at the leaf position where the binary search determines a node for x should exist.
Newton's method in optimization (can be used to search for where the derivative is zero) Golden-section search (similar to ternary search, useful if evaluating f takes most of the time per iteration) Binary search algorithm (can be used to search for where the derivative changes in sign) Interpolation search; Exponential search; Linear search