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author | Mattias Andrée <maandree@operamail.com> | 2014-01-21 09:50:37 +0100 |
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committer | Mattias Andrée <maandree@operamail.com> | 2014-01-21 09:50:37 +0100 |
commit | 4176b9b53df47c2351b38695c3d899680403bed2 (patch) | |
tree | 503a1318d449280da53e1fcac8bc3f059e8813ce /src/algorithms/searching/HybridInterpolationSearch.java | |
parent | add interpolation search (diff) | |
download | algorithms-and-data-structures-4176b9b53df47c2351b38695c3d899680403bed2.tar.gz algorithms-and-data-structures-4176b9b53df47c2351b38695c3d899680403bed2.tar.bz2 algorithms-and-data-structures-4176b9b53df47c2351b38695c3d899680403bed2.tar.xz |
m + add hybrid interpolation search
Signed-off-by: Mattias Andrée <maandree@operamail.com>
Diffstat (limited to '')
-rw-r--r-- | src/algorithms/searching/HybridInterpolationSearch.java | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/src/algorithms/searching/HybridInterpolationSearch.java b/src/algorithms/searching/HybridInterpolationSearch.java new file mode 100644 index 0000000..888c028 --- /dev/null +++ b/src/algorithms/searching/HybridInterpolationSearch.java @@ -0,0 +1,141 @@ +/** + * Copyright © 2014 Mattias Andrée (maandree@member.fsf.org) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU Affero General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU Affero General Public License for more details. + * + * You should have received a copy of the GNU Affero General Public License + * along with this program. If not, see <http://www.gnu.org/licenses/>. + */ +package algorithms.searching; + +import java.util.*; +import java.math.*; + + +/** + * Hybrid interpolation search class. Interpolation search runs in logarithmic + * time, in average, and linear time in worst case, which will occur with + * rough distrubitions, constant memory, and requires the list to be sorted + * and numerical. Interpolation search often out preforms binary search for + * smoothing distributions. Hybrid interpolation search uses interpolation + * search and falls back to linear search when the number of elemetns left are + * small enough. Identity search is not possible, only equality search.<br> + * The list must be sorted in ascending order. + */ +public class HybridInterpolationSearch +{ +£>for T in char byte short int long float double; do + /** + * Find the easiest to find occurance of an item in a list + * + * @param item The item to find + * @param array The list in which to search + * @param fallback The number of elements at when to fall back to linear search + * @return The index of the easiest to find occurance of the item. The bitwise + * negation of the position it insert it in is returned if it was not found. + */ + public static int indexOf(£{T} item, £{T}[] array, int fallback) + { + £{T} low, high, at; + int min = 0, mid; + int max = array.length - 1; + + for (;;) + { + if (min + fallback >= max) + return linearFirst(item, array, min, max); + + if ((low = array[min]) > item) break; + if ((high = array[max]) < item) break; + + if ((at = array[mid = min + (int)((item - low) * (max - min) / (high - low))]) < item) + min = mid + 1; + else if (at > item) + max = mid - 1; + else + return mid; + } + + return (array[min] == item) ? min : ~min; + } +£>done + +£>for T in BigInteger BigDecimal; do + /** + * Find the easiest to find occurance of an item in a list + * + * @param item The item to find + * @param array The list in which to search + * @param fallback The number of elements at when to fall back to linear search + * @return The index of the easiest to find occurance of the item. The bitwise + * negation of the position it insert it in is returned if it was not found. + */ + public static int indexOf(£{T} item, £{T}[] array, int fallback) + { + £{T} low, high, at; + int min = 0, mid; + int max = array.length - 1; + + for (;;) + { + if (min + fallback >= max) + return linearFirst(item, array, min, max); + + if ((low = array[min]).compareTo(item) > 0) break; + if ((high = array[max]).compareTo(item) < 0) break; + + mid = item.subtract(low).multiply(£{T}.valueOf(max - min)).divide(high.subtract(low)).intValue(); + + if ((at = array[mid += min]).compareTo(item) < 0) + min = mid + 1; + else if (at.compareTo(item) > 0) + max = mid - 1; + else + return mid; + } + + return (array[min] == item) ? min : ~min; + } +£>done + +£>for T in char byte short int long float double Object; do . src/comparable + /** + * Finds the index of the first occurance of an item in a list + * + * @param item The item for which to search + * @param array The list in which to search + * @param start Offset for the list or search range + * @param end End of the list or search range + * @return The index of the first occurance of the item within the list, {@code -1} if it was not found + */ + private static int linearFirst(£{T} item, £{T}[] array, int start, int end) + { + /* This is nearly identical to LinearSearch.indexOfFirst */ + + int i = start < 0 ? (array.length - start) : start; + int n = end < 0 ? (array.length - end) : end; + + for (;;) + { + if (i == n) + break; + + if (£(equal array[i] item)) + return i; + + i++; + } + + return -1; + } +£>done +} + |