Competitive Programming
Master the Theory and Application of Algorithms and Data Structures to Excel in Programming Contests
4.25 (95 reviews)
7 526
students
11.5 hours
content
Feb 2022
last update
$44.99
regular price
What you will learn
Competitive Programming
Algorithms
Data Structures
Programming
Merge Sort, QuickSort, Count Sort, Bucket Sort
Linear Search, Binary Search, QuickSelect, Two Pointer Technique
Stacks, Queues, Hash Tables, Hash Sets, Heap-Based Structures, Binary Search Tree-Based Data Structures, Coordinate Compression, Custom Comparators
Hash Functions, Collisions, Rabin-Karp, Sliding Window Technique
Greedy Algorithms
Iterative Complete Search, Backtracking, Permutations, Subsets, Pruning
Divide and Conquer, Binary Search the Answer, the Bisection Method
Dynamic Programming: Competitive Approach, Top-Down and Bottom-Up DP, Space Optimisation, Prefix Sums, Backtracking to Find Solutions
Graph Representation: Adjacency Lists, Adjacency Matrices, Edge Lists, Weighted and Unweighted Graphs
Graph Exploration: Breadth-First Search (BFS), Depth-First Search (DFS), Connected Components, Multi-Source BFS
Directed Graphs and Cycles: Topological Sort, Strongly Connected Components, BFS for Single-Source Shortest Paths
Shortest Paths: Dijkstra, Floyd-Warshall's, Bellman-Ford and Negative-Weight Cycles, Arbitrages and the Logarithm Trick
Trees: Special Properties, Faster Shortest Paths, Diameter, Minimum Spanning Trees
Union-Find Disjoint Sets: Optimised Implementation, Kruskal's Algorithm, Minimum Spanning Tree Variants
Strings: Dynamic Programming on Strings, Longest Common Subsequence, Edit Distance, Longest Palindromic Substring, Tries, Suffix Tries
Game Theory: States and Transitions, Minimax for Optimal Game Playing, Dynamic Programming To Recover Optimal Strategies
Approaching Interactive Problems
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3955152
udemy ID
02/04/2021
course created date
10/09/2021
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