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Exponential search
In computer science, an exponential search (also called doubling search or galloping search or Struzik search) is an algorithm, created by Jon Bentley
Binary search algorithm
solves a number of search problems in computational geometry and in numerous other fields. Exponential search extends binary search to unbounded lists
Exponential growth
Exponential growth is a process that increases quantity over time. It occurs when the instantaneous rate of change (that is, the derivative) of a quantity
Time complexity
an exponential. In this sense, problems that have sub-exponential time algorithms are somewhat more tractable than those that only have exponential algorithms
Ternary search
Binary search algorithm (can be used to search for where the derivative changes in sign) Interpolation search Exponential search Linear search N Dimensional
Interpolation search
interpolation search, as written above, would be allowed no more than three iterations. Linear search Binary search Exponential search Ternary search Hash table
Cycle detection
values. Alternatively, Brent's algorithm is based on the idea of exponential search. Both Floyd's and Brent's algorithms use only a constant number of
Monte Carlo tree search
heuristic search in the field of automated theorem proving by W. Ertel, J. Schumann and C. Suttner in 1989, thus improving the exponential search times of
A* search algorithm
heuristic. In the worst case of an unbounded search space, the number of nodes expanded is exponential in the depth of the solution (the shortest path)
Timsort
triggering it. In this mode, the algorithm performs an exponential search, also known as galloping search, for the next element x of the run R2 in the run R1