sparse table
(include/emthrm/data_structure/sparse_table.hpp)
時間計算量
$\langle O(N\log{N}), O(1) \rangle$
仕様
template < typename Band >
struct SparseTable ;
メンバ変数
名前
効果・戻り値
SparseTable();
デフォルトコンストラクタ
explicit SparseTable(const std::vector<Band>& a, const BinOp bin_op);
$A$ に対して二項演算 $\mathrm{binOp}$ のオブジェクトを構築する。
void init(const std::vector<Band>& a, const BinOp bin_op_);
$A$ によって初期化する。
Band query(const int left, const int right) const;
$[\mathrm{left}, \mathrm{right})$ における演算を行った解
メンバ型
名前
効果・戻り値
BinOp
std::function<Band(Band, Band)>
参考文献
Michael A. Bender and Martín Farach-Colton: The LCA Problem Revisited, LATIN 2000: Theoretical Informatics , pp. 88–94 (2000). https://doi.org/10.1007/10719839_9
http://tookunn.hatenablog.com/entry/2016/07/13/211148
https://github.com/drken1215/algorithm/blob/0db023d94ca9c79a24ef13f5905e6bab056bdafe/DataStructure/sparse_table.cpp
Submissons
https://judge.yosupo.jp/submission/2719
Required by
Verified with
Code
#ifndef EMTHRM_DATA_STRUCTURE_SPARSE_TABLE_HPP_
#define EMTHRM_DATA_STRUCTURE_SPARSE_TABLE_HPP_
#include <algorithm>
#include <bit>
#include <cassert>
#include <functional>
#include <vector>
namespace emthrm {
template < typename Band >
struct SparseTable {
using BinOp = std :: function < Band ( Band , Band ) > ;
SparseTable () = default ;
explicit SparseTable ( const std :: vector < Band >& a , const BinOp bin_op ) {
init ( a , bin_op );
}
void init ( const std :: vector < Band >& a , const BinOp bin_op_ ) {
bin_op = bin_op_ ;
const int n = a . size ();
assert ( n > 0 );
lg . assign ( n + 1 , 0 );
for ( int i = 2 ; i <= n ; ++ i ) {
lg [ i ] = lg [ i >> 1 ] + 1 ;
}
const int table_h = std :: countr_zero ( std :: bit_floor ( a . size ())) + 1 ;
data . assign ( table_h , std :: vector < Band > ( n ));
std :: copy ( a . begin (), a . end (), data . front (). begin ());
for ( int i = 1 ; i < table_h ; ++ i ) {
for ( int j = 0 ; j + ( 1 << i ) <= n ; ++ j ) {
data [ i ][ j ] = bin_op ( data [ i - 1 ][ j ], data [ i - 1 ][ j + ( 1 << ( i - 1 ))]);
}
}
}
Band query ( const int left , const int right ) const {
assert ( left < right );
const int h = lg [ right - left ];
return bin_op ( data [ h ][ left ], data [ h ][ right - ( 1 << h )]);
}
private:
BinOp bin_op ;
std :: vector < int > lg ;
std :: vector < std :: vector < Band >> data ;
};
} // namespace emthrm
#endif // EMTHRM_DATA_STRUCTURE_SPARSE_TABLE_HPP_
#line 1 "include/emthrm/data_structure/sparse_table.hpp"
#include <algorithm>
#include <bit>
#include <cassert>
#include <functional>
#include <vector>
namespace emthrm {
template < typename Band >
struct SparseTable {
using BinOp = std :: function < Band ( Band , Band ) > ;
SparseTable () = default ;
explicit SparseTable ( const std :: vector < Band >& a , const BinOp bin_op ) {
init ( a , bin_op );
}
void init ( const std :: vector < Band >& a , const BinOp bin_op_ ) {
bin_op = bin_op_ ;
const int n = a . size ();
assert ( n > 0 );
lg . assign ( n + 1 , 0 );
for ( int i = 2 ; i <= n ; ++ i ) {
lg [ i ] = lg [ i >> 1 ] + 1 ;
}
const int table_h = std :: countr_zero ( std :: bit_floor ( a . size ())) + 1 ;
data . assign ( table_h , std :: vector < Band > ( n ));
std :: copy ( a . begin (), a . end (), data . front (). begin ());
for ( int i = 1 ; i < table_h ; ++ i ) {
for ( int j = 0 ; j + ( 1 << i ) <= n ; ++ j ) {
data [ i ][ j ] = bin_op ( data [ i - 1 ][ j ], data [ i - 1 ][ j + ( 1 << ( i - 1 ))]);
}
}
}
Band query ( const int left , const int right ) const {
assert ( left < right );
const int h = lg [ right - left ];
return bin_op ( data [ h ][ left ], data [ h ][ right - ( 1 << h )]);
}
private:
BinOp bin_op ;
std :: vector < int > lg ;
std :: vector < std :: vector < Band >> data ;
};
} // namespace emthrm
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