【原创】编程之美---小飞的电梯调度问题 (停k层的解法) - Gavin的日志 - 网易博客



问题.有一栋楼,一共有N层,要去每一层的人分别是A[1],A[2]....A[N],如果电梯可以停K次,问停在哪K层让所有人走的矩离最短? [备注:这只是我的个人解法,欢迎和我讨论] 用一个数组opt[i][j]记录电梯前i次停在1到j层之间,所有人走的路的最短矩离。用cost[i][j]记录如果电梯从第i层到第j层只能停一次,电梯停在最佳位置让所有人走的矩离最短的最优解。那么cost[i][j]怎么求呢?(这里把这个解法省略,具体可参见编程之美“小飞的电梯调度”)。如果前i次停留在前j层,那么第i+1次停留在第j+1至j+k层(j+k<=n),则状态转移方程为 opt[i+1][j+k]=min{opt[i][j]+cost[j+1][j+k];} (k+j<=n) Cost数组存放电梯从第i层到j层停一次的最小走动矩离,构造cost的代码如下:         } Opt[i][j] 表示从电梯在第1层到第j层停i次所有人的最小走动矩离,对于i=1(即电梯只停一次的情况)来说,opt[i][j] = cost[i][j],

Read full article from 【原创】编程之美---小飞的电梯调度问题 (停k层的解法) - Gavin的日志 - 网易博客


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