TheAlgorithms-C-Plus-Plus/search/interpolation_search.cpp
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feat: Reworked interpolation_search.cpp (#1855)
* feat: Reworked interpolation_search.cpp

* Update interpolation_search.cpp

* clang-format and clang-tidy fixes for c98405b3

* Update search/interpolation_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

* Update search/interpolation_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

* Update search/interpolation_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

* Update search/interpolation_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

* clang-format and clang-tidy fixes for d4eac660

* Update search/interpolation_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

* Update search/interpolation_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

* fix: apply suggestions from code review

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Co-authored-by: David Leal <halfpacho@gmail.com>
2022-01-01 21:42:12 -06:00

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/******************************************************************************
* @file
* @brief [Interpolation search
* algorithm](https://en.wikipedia.org/wiki/interpolation_search)
*
* @details
* interpolation search resembles the method by which people search a telephone
* directory for a name (the key value by which the book's entries are ordered):
* in each step the algorithm calculates where in the remaining search space
* the sought item might be, based on the key values at the bounds of the search
* space and the value of the sought key, usually via a linear interpolation.
* The key value actually found at this estimated position is then compared to
* the key value being sought. If it is not equal, then depending on the
* comparison, the remaining search space is reduced to the part before or
* after the estimated position. This method will only work if calculations
* on the size of differences between key values are sensible.
* ### Complexities
*
* //n is the number of element in the array.
*
* Worst-case time complexity O(n) (when items are distributed
exponentially)
* Average time complexity O(log2(log2 n))
* space complexity 0(1)
*
* @author [Lajat Manekar](https://github.com/Lazeeez)
* @author Unknown author
*******************************************************************************/
#include <algorithm> /// for std::sort function
#include <cassert> /// for std::assert
#include <iostream> /// for IO operations
#include <vector> /// for std::vector
/******************************************************************************
* @namespace search
* @brief Searching algorithms
*******************************************************************************/
namespace search {
/******************************************************************************
* @namespace interpolation_search
* @brief Functions for the [Interpolation
*Search](https://en.wikipedia.org/wiki/interpolation_search) algorithm
*implementation
*******************************************************************************/
namespace interpolation_search {
/******************************************************************************
* @brief The main function which implements interpolation search
* @param arr vector to be searched in
* @param number value to be searched
* @returns integer index of `number` in vector `arr`
*******************************************************************************/
uint64_t interpolationSearch(const std::vector<uint64_t> &arr,
uint64_t number) {
uint64_t size = arr.size();
uint64_t low = 0, high = (size - 1);
// Since vector is sorted, an element present in array must be in range
// defined by corner
while (low <= high && number >= arr[low] && number <= arr[high]) {
if (low == high) {
if (arr[low] == number) {
return low;
}
return -1;
}
// Probing the position with keeping uniform distribution in mind.
uint64_t pos =
low +
((static_cast<uint64_t>(high - low) / (arr[high] - arr[low])) *
(number - arr[low]));
if (arr[pos] == number) {
return pos; // Condition of target found
}
if (arr[pos] < number) {
low = pos + 1; // If x is larger, x is in upper part
}
else {
high = pos - 1; // If x is smaller, x is in the lower part
}
}
return -1;
}
} // namespace interpolation_search
} // namespace search
/*******************************************************************************
* @brief Self-test implementation
* @returns void
*******************************************************************************/
static void tests() {
// testcase
// array = [10, 12, 13, 16, 18, 19, 20, 21, 1, 2, 3, 4, 22, 23, 24, 33, 35,
// 42, 47] , Value = 33 should return 15
std::vector<uint64_t> arr = {{10, 12, 13, 16, 18, 19, 20, 21, 1, 2, 3, 4,
22, 23, 24, 33, 35, 42, 47}};
sort(arr.begin(), arr.end());
uint64_t number = 33; // Element to be searched
uint64_t expected_answer = 15;
uint64_t derived_answer =
search::interpolation_search::interpolationSearch(arr, number);
std::cout << "Testcase: ";
assert(derived_answer == expected_answer);
std::cout << "Passed!\n";
}
/*******************************************************************************
* @brief Main function
* @returns 0 on exit
*******************************************************************************/
int main() {
tests(); // run self-test implementations
return 0;
}