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Algorithm

Exponential Search Algorithm

Searching Algorithm

Exponential search finds a target value in a sorted, unbounded or very large array by first determining a range that must contain the target, doubling an index repeatedly, one, two, four, eight and so on, until the value at that index exceeds the target or the array's end is reached, and then performing a binary search within the identified range. It runs in O(log i) time where i is the position of the target, especially useful when the target is expected to be near the beginning of the array or when the array's length is not known in advance, such as searching an unbounded list. Jon Bentley and Andrew Chi-Chih Yao described the technique in 1976.

Facts
Time Complexity
O(log i), where i is the position of the search key 2
Credited To
Jon Bentley and Andrew Chi-Chih Yao 2
Time Complexity
Time Complexity (category)
Logarithmic Time -- O(log n) 1
Connections

Credited To

Andrew Yao, Pioneers
Source Wikipedia: Exponential search
Jon Bentley, Pioneers
Source Wikipedia: Exponential search

In Field

Source Wikipedia: Exponential search

Invented By

Andrew Yao, Pioneers
Source Wikipedia: Exponential search
Jon Bentley, Pioneers
Source Wikipedia: Exponential search
Sources
1. Exponential Search Algorithm (Wikipedia)
Wikipedia infobox: time complexity logarithmic
Quote, Wikipedia infobox: time complexity logarithmic
logarithmic
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2. Wikipedia: Exponential search
  • Infobox, time
    O(log i)
  • Lead section
    created by Jon Bentley and Andrew Chi-Chih Yao in 1976
  • In Field: Algorithms and Complexity Theory, Lead paragraph
  • In Group: Searching Algorithms for Ordered Lists, Lead
    In computer science, an exponential search (also called doubling search or galloping search or Struzik search) is an algorithm, created by Jon Bentley and Andrew Chi-Chih Yao in 1976, for searching sorted, unbounded/infinite lists.
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