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range_minimum_query.h
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range_minimum_query.h
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// Copyright 2010-2018 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// We use the notation min(arr, i, j) for the minimum arr[x] such that i <= x
// and x < j.
// Range Minimum Query (RMQ) is a data structure preprocessing an array arr so
// that querying min(arr, i, j) takes O(1) time. The preprocessing takes
// O(n*log(n)) time and memory.
// Note: There exists an O(n) preprocessing algorithm, but it is considerably
// more involved and the hidden constants behind it are much higher.
//
// The algorithms are well explained in Wikipedia:
// https://en.wikipedia.org/wiki/Range_minimum_query.
//
//
// Implementation: The idea is to cache every min(arr, i, j) where j - i is a
// power of two, i.e. j = i + 2^k for some k. Provided this information, we can
// answer all queries in O(1): given a pair (i, j) find the maximum k such that
// i + 2^k < j and note that
// std::min(min(arr, i, i+2^k), min(arr, j-2^k, j)) = min(arr, i, j).
#ifndef OR_TOOLS_UTIL_RANGE_MINIMUM_QUERY_H_
#define OR_TOOLS_UTIL_RANGE_MINIMUM_QUERY_H_
#include <algorithm>
#include <functional>
#include <numeric>
#include <utility>
#include <vector>
#include "ortools/util/bitset.h"
namespace operations_research {
template <typename T, typename Compare = std::less<T>>
class RangeMinimumQuery {
public:
explicit RangeMinimumQuery(std::vector<T> array);
RangeMinimumQuery(std::vector<T> array, Compare cmp);
// Returns the minimum (w.r.t. Compare) arr[x], where x is contained in
// [from, to).
T GetMinimumFromRange(int from, int to) const;
const std::vector<T>& array() const;
private:
// cache_[k][i] = min(arr, i, i+2^k).
std::vector<std::vector<T>> cache_;
Compare cmp_;
DISALLOW_COPY_AND_ASSIGN(RangeMinimumQuery);
};
// RangeMinimumIndexQuery is similar to RangeMinimumQuery, but
// GetMinimumIndexFromRange returns the index for which the minimum is attained.
template <typename T, typename Compare = std::less<T>>
class RangeMinimumIndexQuery {
public:
explicit RangeMinimumIndexQuery(std::vector<T> array);
RangeMinimumIndexQuery(std::vector<T> array, Compare cmp);
// Returns an index idx from [from, to) such that arr[idx] is the minimum
// value of arr over the interval [from, to).
int GetMinimumIndexFromRange(int from, int to) const;
// Returns the original array.
const std::vector<T>& array() const;
private:
// Returns a vector with values 0, 1, ... n - 1 for a given n.
static std::vector<int> CreateIndexVector(int n);
struct IndexComparator {
bool operator()(int lhs_idx, int rhs_idx) const;
const std::vector<T> array;
Compare cmp;
} cmp_;
const RangeMinimumQuery<int, IndexComparator> rmq_;
DISALLOW_COPY_AND_ASSIGN(RangeMinimumIndexQuery);
};
// RangeMinimumQuery implementation
template <typename T, typename Compare>
inline RangeMinimumQuery<T, Compare>::RangeMinimumQuery(std::vector<T> array)
: RangeMinimumQuery(std::move(array), Compare()) {}
// Reminder: The task is to fill cache_ so that
// cache_[k][i] = min(arr, i, i+2^k) for every k <= Log2(n) and i <= n-2^k.
// Note that cache_[k+1][i] = min(cache_[k][i], cache_[k][i+2^k]), hence every
// row can be efficiently computed from the previous.
template <typename T, typename Compare>
RangeMinimumQuery<T, Compare>::RangeMinimumQuery(std::vector<T> array,
Compare cmp)
: cache_(MostSignificantBitPosition32(array.size()) + 1),
cmp_(std::move(cmp)) {
const int array_size = array.size();
cache_[0] = std::move(array);
for (int row_idx = 1; row_idx < cache_.size(); ++row_idx) {
const int row_length = array_size - (1 << row_idx) + 1;
const int window = 1 << (row_idx - 1);
cache_[row_idx].resize(row_length);
for (int col_idx = 0; col_idx < row_length; ++col_idx) {
cache_[row_idx][col_idx] =
std::min(cache_[row_idx - 1][col_idx],
cache_[row_idx - 1][col_idx + window], cmp_);
}
}
}
template <typename T, typename Compare>
inline T RangeMinimumQuery<T, Compare>::GetMinimumFromRange(int from,
int to) const {
DCHECK_LE(0, from);
DCHECK_LT(from, to);
DCHECK_LE(to, array().size());
const int log_diff = MostSignificantBitPosition32(to - from);
const int window = 1 << log_diff;
const std::vector<T>& row = cache_[log_diff];
return std::min(row[from], row[to - window], cmp_);
}
template <typename T, typename Compare>
inline const std::vector<T>& RangeMinimumQuery<T, Compare>::array() const {
return cache_[0];
}
// RangeMinimumIndexQuery implementation
template <typename T, typename Compare>
inline RangeMinimumIndexQuery<T, Compare>::RangeMinimumIndexQuery(
std::vector<T> array)
: RangeMinimumIndexQuery(std::move(array), Compare()) {}
template <typename T, typename Compare>
RangeMinimumIndexQuery<T, Compare>::RangeMinimumIndexQuery(std::vector<T> array,
Compare cmp)
: cmp_({std::move(array), std::move(cmp)}),
rmq_(CreateIndexVector(cmp_.array.size()), cmp_) {}
template <typename T, typename Compare>
inline int RangeMinimumIndexQuery<T, Compare>::GetMinimumIndexFromRange(
int from, int to) const {
return rmq_.GetMinimumFromRange(from, to);
}
template <typename T, typename Compare>
inline bool RangeMinimumIndexQuery<T, Compare>::IndexComparator::operator()(
int lhs_idx, int rhs_idx) const {
return cmp(array[lhs_idx], array[rhs_idx]);
}
template <typename T, typename Compare>
std::vector<int> RangeMinimumIndexQuery<T, Compare>::CreateIndexVector(int n) {
std::vector<int> result(n, 0);
std::iota(result.begin(), result.end(), 0);
return result;
}
template <typename T, typename Compare>
inline const std::vector<T>& RangeMinimumIndexQuery<T, Compare>::array() const {
return cmp_.array;
}
} // namespace operations_research
#endif // OR_TOOLS_UTIL_RANGE_MINIMUM_QUERY_H_