4.1.2 Merge Sort Sorting Lower Bound Counting Sort Sorting in Practice Solving Problems by Sorting...

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1 Contents 1 Introduction What is Competitive Programming? Programming Contests Tips for Practicing About This Book CSES Problem Set Other Resources Programming Techniques Language Features Input and Output Working with Numbers Shortening Code Recursive Algorithms Generating Subsets Generating Permutations Backtracking Bit Manipulation Bit Operations Representing Sets Efficiency Time Complexity Calculation Rules Common Time Complexities Estimating Efficiency Formal Definitions Examples Maximum Subarray Sum Two Queens Problem Sorting and Searching Sorting Algorithms Bubble Sort vii
2 viii Contents Merge Sort Sorting Lower Bound Counting Sort Sorting in Practice Solving Problems by Sorting Sweep Line Algorithms Scheduling Events Tasks and Deadlines Binary Search Implementing the Search Finding Optimal Solutions Data Structures Dynamic Arrays Vectors Iterators and Ranges Other Structures Set Structures Sets and Multisets Maps Priority Queues PolicyBased Sets Experiments Set Versus Sorting Map Versus Array Priority Queue Versus Multiset Dynamic Programming Basic Concepts When Greedy Fails Finding an Optimal Solution Counting Solutions Further Examples Longest Increasing Subsequence Paths in a Grid Knapsack Problems From Permutations to Subsets Counting Tilings Graph Algorithms Basics of Graphs Graph Terminology Graph Representation Graph Traversal DepthFirst Search
3 Contents ix BreadthFirst Search Applications Shortest Paths Bellman Ford Algorithm Dijkstra s Algorithm Floyd Warshall Algorithm Directed Acyclic Graphs Topological Sorting Dynamic Programming Successor Graphs Finding Successors Cycle Detection Minimum Spanning Trees Kruskal s Algorithm UnionFind Structure Prim s Algorithm Algorithm Design Topics BitParallel Algorithms Hamming Distances Counting Subgrids Reachability in Graphs Amortized Analysis Two Pointers Method Nearest Smaller Elements Sliding Window Minimum Finding Minimum Values Ternary Search Convex Functions Minimizing Sums Range Queries Queries on Static Arrays Sum Queries Minimum Queries Tree Structures Binary Indexed Trees Segment Trees Additional Techniques Tree Algorithms Basic Techniques Tree Traversal Calculating Diameters All Longest Paths
4 x Contents 10.2 Tree Queries Finding Ancestors Subtrees and Paths Lowest Common Ancestors Merging Data Structures Advanced Techniques Centroid Decomposition HeavyLight Decomposition Mathematics Number Theory Primes and Factors Sieve of Eratosthenes Euclid s Algorithm Modular Exponentiation Euler s Theorem Solving Equations Combinatorics Binomial Coefficients Catalan Numbers InclusionExclusion Burnside s Lemma Cayley s Formula Matrices Matrix Operations Linear Recurrences Graphs and Matrices Gaussian Elimination Probability Working with Events Random Variables Markov Chains Randomized Algorithms Game Theory Game States Nim Game Sprague Grundy Theorem Advanced Graph Algorithms Strong Connectivity Kosaraju s Algorithm SAT Problem Complete Paths Eulerian Paths
5 Contents xi Hamiltonian Paths Applications Maximum Flows Ford Fulkerson Algorithm Disjoint Paths Maximum Matchings Path Covers DepthFirst Search Trees Biconnectivity Eulerian Subgraphs Geometry Geometric Techniques Complex Numbers Points and Lines Polygon Area Distance Functions Sweep Line Algorithms Intersection Points Closest Pair Problem Convex Hull Problem String Algorithms Basic Topics Trie Structure Dynamic Programming String Hashing Polynomial Hashing Applications Collisions and Parameters ZAlgorithm Constructing the ZArray Applications Suffix Arrays Prefix Doubling Method Finding Patterns LCP Arrays Additional Topics Square Root Techniques Data Structures Subalgorithms Integer Partitions Mo s Algorithm
6 xii Contents 15.2 Segment Trees Revisited Lazy Propagation Dynamic Trees Data Structures in Nodes TwoDimensional Trees Treaps Splitting and Merging Implementation Additional Techniques Dynamic Programming Optimization Convex Hull Trick Divide and Conquer Optimization Knuth s Optimization Miscellaneous Meet in the Middle Counting Subsets Parallel Binary Search Dynamic Connectivity Appendix A: Mathematical Background References Index
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