lintcode 中等题:Coins in Line II 硬币排成线 II



lintcode 中等题:Coins in Line II 硬币排成线 II

有 n 个不同价值的硬币排成一条线。两个参赛者轮流从左边依次拿走 1 或 2 个硬币,直到没有硬币为止。计算两个人分别拿到的硬币总价值,价值高的人获胜。

请判定 第一个玩家 是输还是赢?

样例

给定数组 A = [1,2,2], 返回 true.

给定数组 A = [1,2,4], 返回 false.

解题

动态规划、博弈论

坑死,看了好久

定义dp[i]表示从i到end能取到的最大值

当我们在i处,有两种选择:

1.若取values[i],对方可以取values[i+1] 或者values[i+1] + values[i+2]

当对方取values[i+1] 后 ,我们只能从 i+2 到end内取,我们所取得最大值是dp[i+2],  注意:对方所选取的结果一定是使得我们以后选取的值最小

当对方取values[i+1] + values[i+2]后,我们只能从i+3到end内取,我们所取得最大值是dp[i+3]。

此时:dp[i] = values[i] + min(dp[i+2],dp[i+3]) , 注意:对方所选取的结果一定是使得我们以后选取的值最小

2.若取values[i] + values[i+1],对方可取values[i+2] 或者values[i+2] + values[i+3]

当对方取values[i+2]后,我们只能从i+3到end内取,我们取得最大值是dp[i+3]

当对方取values[i+2]+values[i+3]后,我们只能从i+4到end内去,我们取得最大值是dp[i+4]

此时:dp[i] = values[i] + values[i+1]+min(dp[i+3],dp[i+4])

这里的取最小值和上面一样的意思,对方选取过之后的值一定是使得我们选取的值最小,对方不傻并且还很聪明

最后我们可以取上面两个dp[i]的最大值,就是答案,这里意思是:对方留得差的方案中,我们选取的最大值。


Read full article from lintcode 中等题:Coins in Line II 硬币排成线 II


No comments:

Post a Comment

Labels

Algorithm (219) Lucene (130) LeetCode (97) Database (36) Data Structure (33) text mining (28) Solr (27) java (27) Mathematical Algorithm (26) Difficult Algorithm (25) Logic Thinking (23) Puzzles (23) Bit Algorithms (22) Math (21) List (20) Dynamic Programming (19) Linux (19) Tree (18) Machine Learning (15) EPI (11) Queue (11) Smart Algorithm (11) Operating System (9) Java Basic (8) Recursive Algorithm (8) Stack (8) Eclipse (7) Scala (7) Tika (7) J2EE (6) Monitoring (6) Trie (6) Concurrency (5) Geometry Algorithm (5) Greedy Algorithm (5) Mahout (5) MySQL (5) xpost (5) C (4) Interview (4) Vi (4) regular expression (4) to-do (4) C++ (3) Chrome (3) Divide and Conquer (3) Graph Algorithm (3) Permutation (3) Powershell (3) Random (3) Segment Tree (3) UIMA (3) Union-Find (3) Video (3) Virtualization (3) Windows (3) XML (3) Advanced Data Structure (2) Android (2) Bash (2) Classic Algorithm (2) Debugging (2) Design Pattern (2) Google (2) Hadoop (2) Java Collections (2) Markov Chains (2) Probabilities (2) Shell (2) Site (2) Web Development (2) Workplace (2) angularjs (2) .Net (1) Amazon Interview (1) Android Studio (1) Array (1) Boilerpipe (1) Book Notes (1) ChromeOS (1) Chromebook (1) Codility (1) Desgin (1) Design (1) Divide and Conqure (1) GAE (1) Google Interview (1) Great Stuff (1) Hash (1) High Tech Companies (1) Improving (1) LifeTips (1) Maven (1) Network (1) Performance (1) Programming (1) Resources (1) Sampling (1) Sed (1) Smart Thinking (1) Sort (1) Spark (1) Stanford NLP (1) System Design (1) Trove (1) VIP (1) tools (1)

Popular Posts