CC--Q2.8

2.8 Loop Detection: Given a circular linked list, implement an algorithm that returns the node at the beginning of the loop.

DEFINITION
Circular linked list: A (corrupt) linked list in which a node's next pointer points to an earlier node, so as to make a loop in the linked list
EXAMPLE
Input: A -> B -> C - > D -> E -> C [the same C as earlier)
Output: C

This is a modification of a classic interview problem: detect if a linked list has a loop. Let's apply the Pattern Matching approach.

Part 1: Detect If Linked List Has A Loop

An easy way to detect if a linked list has a loop is through the FastRunner / SlowRunner approach. FastRunner moves two steps at a time, while SlowRunner moves one step. Much like two cars racing around a track at different steps, they must eventually meet.

An astute reader may wonder if FastRunner might "hop over" SlowRunner completely, without ever colliding. That's not possible. Suppose that FastRunner did hop over SlowRunner, such that SlowRunner is at spot i and FastRunner is at spot i + 1. In the previous step, SlowRunner would be at spot i - 1and FastRunner would at spot ((i + 1) - 2),or spot i - 1.That is, they would have collided.

Part 2: When Do They Collide?

Let's assume that the linked list has a "non-looped" part of size k.

If we apply our algorithm from part 1, when will FastRunner and SlowRunner collide?

We know that for every p steps that SlowRunner takes, FastRunner has taken 2p steps. Therefore, when SlowRunner enters the looped portion after k steps, FastRunner has taken 2k steps total and must be 2k - k steps, or k steps, into the looped portion. Since k might be much larger than the loop length, we should actually write this as mod ( k, LOOP_SIZE) steps, which we will denote as K.

At each subsequent step, FastRunner and SlowRunner get either one step farther away or one step closer, depending on your perspective. That is, because we are in a circle, when A moves q steps away from B, it is also moving q steps closer to B.

So now we know the following facts:

  1. SlowRunner is 0 steps into the loop.
  2. FastRunner is K steps into the loop.
  3. SlowRunner is K steps behind FastRunner.
  4. FastRunner is LOOP_SIZE - K steps behind SlowRunner.
  5. FastRunner catches up to SlowRunner at a rate of 1 step per unit of time.

So, when do they meet? Well, if FastRunner is LOOP_SIZE - K steps behind SlowRunner, and FastRunner catches up at a rate of 1 step per unit of time, then they meet after LOOP_SIZE - K steps. At this point, they will be K steps before the head of the loop. Let's call this point CollisionS pot.

Paste_Image.png
Part 3: How Do You Find The Start of the Loop?

We now know that CollisionSpot is K nodes before the start of the loop. Because K = mod (k, LOOP_SIZE) (or, in other words, k = K + M * LOOP_SIZE, for any integer M), it is also correct to say that it is k nodes from the loop start. For example, if node N is 2 nodes into a 5 node loop, it is also correct to say that it is 7, 12, or even 397 nodes into the loop.

Therefore, both CollisionSpot and LinkedListHead are k nodes from the start of the loop.

Now, if we keep one pointer at CollisionSpot and move the other one to LinkedListHead, they will each be k nodes from LoopStart. Moving the two pointers at the same speed will cause them to collide again--this time after k steps, at which point they will both be at LoopStart. All we have to do is return this node.

Part 4: Putting It All Together

To summarize, we move FastPointer twice as fast as SlowPointer. When SlowPointer enters the loop, after k nodes, FastPointer is k nodes into the loop. This means that FastPointer and SlowPointer are LOOP_SIZE - k nodes away from each other.

The head of the linked list is also k nodes from the front of the loop. So, if we keep one pointer where it is, and move the other pointer to the head of the linked list. then they will meet at the front of the loop.
Our algorithm is derived directly from parts 1, 2 and 3.

  1. Create two pointers, FastPointer and SlowPointer.
  2. Move FastPointer at a rate of 2 steps and SlowPointer at a rate of 1 step.
  3. When they collide, move SlowPointer to LinkedListHead. Keep FastPointer where it is.
  4. Move SlowPointer and FastPointer at a·rate of one step. Return the new collision point.
最后編輯于
?著作權歸作者所有,轉載或內容合作請聯系作者
平臺聲明:文章內容(如有圖片或視頻亦包括在內)由作者上傳并發布,文章內容僅代表作者本人觀點,簡書系信息發布平臺,僅提供信息存儲服務。
  • 序言:七十年代末,一起剝皮案震驚了整個濱河市,隨后出現的幾起案子,更是在濱河造成了極大的恐慌,老刑警劉巖,帶你破解...
    沈念sama閱讀 228,345評論 6 531
  • 序言:濱河連續發生了三起死亡事件,死亡現場離奇詭異,居然都是意外死亡,警方通過查閱死者的電腦和手機,發現死者居然都...
    沈念sama閱讀 98,494評論 3 416
  • 文/潘曉璐 我一進店門,熙熙樓的掌柜王于貴愁眉苦臉地迎上來,“玉大人,你說我怎么就攤上這事。” “怎么了?”我有些...
    開封第一講書人閱讀 176,283評論 0 374
  • 文/不壞的土叔 我叫張陵,是天一觀的道長。 經常有香客問我,道長,這世上最難降的妖魔是什么? 我笑而不...
    開封第一講書人閱讀 62,953評論 1 309
  • 正文 為了忘掉前任,我火速辦了婚禮,結果婚禮上,老公的妹妹穿的比我還像新娘。我一直安慰自己,他們只是感情好,可當我...
    茶點故事閱讀 71,714評論 6 410
  • 文/花漫 我一把揭開白布。 她就那樣靜靜地躺著,像睡著了一般。 火紅的嫁衣襯著肌膚如雪。 梳的紋絲不亂的頭發上,一...
    開封第一講書人閱讀 55,186評論 1 324
  • 那天,我揣著相機與錄音,去河邊找鬼。 笑死,一個胖子當著我的面吹牛,可吹牛的內容都是我干的。 我是一名探鬼主播,決...
    沈念sama閱讀 43,255評論 3 441
  • 文/蒼蘭香墨 我猛地睜開眼,長吁一口氣:“原來是場噩夢啊……” “哼!你這毒婦竟也來了?” 一聲冷哼從身側響起,我...
    開封第一講書人閱讀 42,410評論 0 288
  • 序言:老撾萬榮一對情侶失蹤,失蹤者是張志新(化名)和其女友劉穎,沒想到半個月后,有當地人在樹林里發現了一具尸體,經...
    沈念sama閱讀 48,940評論 1 335
  • 正文 獨居荒郊野嶺守林人離奇死亡,尸身上長有42處帶血的膿包…… 初始之章·張勛 以下內容為張勛視角 年9月15日...
    茶點故事閱讀 40,776評論 3 354
  • 正文 我和宋清朗相戀三年,在試婚紗的時候發現自己被綠了。 大學時的朋友給我發了我未婚夫和他白月光在一起吃飯的照片。...
    茶點故事閱讀 42,976評論 1 369
  • 序言:一個原本活蹦亂跳的男人離奇死亡,死狀恐怖,靈堂內的尸體忽然破棺而出,到底是詐尸還是另有隱情,我是刑警寧澤,帶...
    沈念sama閱讀 38,518評論 5 359
  • 正文 年R本政府宣布,位于F島的核電站,受9級特大地震影響,放射性物質發生泄漏。R本人自食惡果不足惜,卻給世界環境...
    茶點故事閱讀 44,210評論 3 347
  • 文/蒙蒙 一、第九天 我趴在偏房一處隱蔽的房頂上張望。 院中可真熱鬧,春花似錦、人聲如沸。這莊子的主人今日做“春日...
    開封第一講書人閱讀 34,642評論 0 26
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽。三九已至,卻和暖如春,著一層夾襖步出監牢的瞬間,已是汗流浹背。 一陣腳步聲響...
    開封第一講書人閱讀 35,878評論 1 286
  • 我被黑心中介騙來泰國打工, 沒想到剛下飛機就差點兒被人妖公主榨干…… 1. 我叫王不留,地道東北人。 一個月前我還...
    沈念sama閱讀 51,654評論 3 391
  • 正文 我出身青樓,卻偏偏與公主長得像,于是被迫代替她去往敵國和親。 傳聞我的和親對象是個殘疾皇子,可洞房花燭夜當晚...
    茶點故事閱讀 47,958評論 2 373

推薦閱讀更多精彩內容

  • 其實你始終很孤獨 但還是對生活充滿熱情 其實你始終堅持一些夢想 也明明知道有些夢不可能實現 其實你始終相信愛情 也...
    時光慢遞閱讀 366評論 0 1
  • 六 折騰的周六 2011年7月23日,李楊和段工要先撤退回國。兩個不會日語的人,要安全到達成田機場,確實有點難度。...
    明哥明說閱讀 357評論 0 2
  • 1. 人際溝通,自我概念,自我應驗預言,身份認同管理 澄清一些大眾對溝通的誤解:意思不在字眼里;溝通不見得越多越好...
    bfe736b4c320閱讀 326評論 0 0
  • 請家人們在下面的評論中回復學習心得。
    林玉珍閱讀 154評論 5 0
  • 這是一個關注留守兒童的文字。同時也是我一路看著過來的書,在書里面,我經歷了我那留守的童年,空巢的長輩對家的堅守,對...
    海熠閱讀 190評論 2 1