2D matrix with 0s and 1s. Try ... | CareerCup



2D matrix with 0s and 1s. Try ... | CareerCup

0 For example: [[1,1,1,0] [1,1,0,0] [0,0,0,1]] return 3, because one for 1s, one for 0s, and one for the last one. another example:     Country: - 0 This is my algo countries = 0 for( elements in matrix ) if element is not visited countries++ dfs from element and mark similar elements in path as visited print countries Comment hidden because of low score. Click to expand. 0 of 0 vote We can use DFS to find the connected components. We will not want to step on an alien element while doing a DFS. The number of distinct DFS forests will be the number of countries. bool visited[m][n]; int xi[]={0, 1, 1, 1, 0, -1, -1, -1}; int xj[]={1, 1, 0, -1, -1, -1, 0, 1}; int number_of_countries(int **country_map, int m, int n) { int i, j; int count=0; init(); for(i=0; i

Read full article from 2D matrix with 0s and 1s. Try ... | CareerCup


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