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J - 次の仕事
問題概要
● 頂点数Nの無向木があたえられる。
● そして、Q個のクエリがあたえられる。
● クエリ1:頂点Aからの距離がB以下の頂点の値
をCに書き換える
● クエリ2:頂点Aから頂点Bへのパス上の頂点の
値の最大値を求める。
ざっくりと
● まず、この問題はクエリ平方分割で解きます。
● クエリをB個ごとのブロックに分けたとする
と、分割されたそれぞれのところにおいて、ク
エリ1のAの頂点、クエリ2のA、Bの頂点のみで
木を作り、O(B)の大きさの木を構築します。
● ではこの木の上で各クエリをどうやってO(B)で
処理するかを説明していきます。
クエリ1
● 更新クエリは、O(B)の木上の辺を通っていきま
す。
● この時、通って行く大きい辺の数はO(B)となる
ので、1つの大きいをO(1)で計算できればよいで
す。
● この部分は2つに分けて計算します。
● ①次に木を構築し直す時のための最終的な更新
● ②同じブロックのクエリ2に応えるための処理
クエリ1
● ①のクエリについては更新クエリをためておいて、更新するとき
に他の大きい辺の領域まではみ出さないように気をつけてdfsす
ると、1ブロックの処理が全体として、O(N + B ^ 2)となります。
● ②のクエリについては、ちょうど大きい辺の通り道になっている
ところしか扱う必要がないので、
線形リストとして扱って、両端のどちらかからB個を塗るという
ようなクエリと、リストの最大値を求めよというクエリを処理で
きれば大丈夫です。
クエリ1
● Segment Treeを使って解くこともできますが、
今回は更新箇所がリストの両端からなの
で、stack2つを使って、ならし計算量O(1)で解く
ことができます。
● 詳しくはこのスライドを見ていただきたいで
す。
http://www.slideshare.net/catupper?
utm_campaign=profiletracking&utm_medium=sss
ite&utm_source=ssslideview
クエリ2
● クエリ2でも、1回につき通る大きな辺の数は
O(B)で、クエリ1のところで紹介した方法を使
うと、各大きな辺での最大値の計算はO(1)とな
ります。
● よって、クエリ1ブロックでの処理はO(B ^ 2)で
す。
全体
● よって、1ブロックでの処理がO(N + B^2)、
ブロックの数がO(Q / B)なので、
全体としての計算量は、
O(NQ / B + QB) = O(Q√N)
となります。

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J - 次の仕事