Competitive Programming in C++
Hone Your Problem-Solving with STL and Dynamic ProgrammingBy Tessa Larkin
Length7h 44m
About this audiobook
Master C++ competitive programming with the patterns, data structures, and optimizations top competitors rely on under time pressure. This hands-on guide covers C++ STL, advanced algorithms, and contest-specific techniques to solve problems faster. Whether you're a beginner or pro, learn to tackle coding challenges from Codeforces, AtCoder, and ICPC with confidence. Tessa Larkin delivers practical insights from real contests, making this a must-have for any programmer aiming to rank higher. Unlike other resources, this book focuses on time-efficient solutions and memory optimization, helping you debug and optimize code on the fly. You'll master dynamic programming, graph algorithms, and data structures like segment trees and Fenwick trees, all tailored for competitive programming. The book includes over 100 solved problems with step-by-step explanations, plus tips on input/output optimization and common pitfalls. By the end, you'll be able to solve medium to hard problems in minutes, not hours. Ideal for students, software engineers, and hobbyists preparing for interviews or contests. Compare this to the works of [placeholder] and [placeholder], who focus on theory—this book is pure practice.
What You'll Learn
Essential C++ STL containers and algorithms for speed
Dynamic programming patterns for complex problems
Graph algorithms: BFS, DFS, Dijkstra, Floyd-Warshall
Data structures: segment trees, Fenwick trees, tries
Optimization techniques: caching, bit manipulation, I/O
This book is your shortcut to competitive programming success. Get ready to solve faster and smarter.
Audiobook details
GenreTechnology
Length7 hrs 44 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Preface
2Chapter 1 — Welcome to the Arena – Project Overview and Environment
3Chapter 2 — Complexity Analysis – The Foundation of Speed
4Chapter 3 — Fast I/O – The First Library Module
5Chapter 4 — STL Containers – Wrappers for Safety and Debug
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6Chapter 5 — Number Theory Toolkit – Modular Arithmetic and Primes
7Chapter 6 — Sorting, Searching, and Two Pointers – Common Patterns
8Chapter 7 — Greedy Algorithms – Simplicity that Wins
9Chapter 8 — Dynamic Programming – From Memoization to Bitmask
10Chapter 9 — Graph Algorithms – Navigate Any Network
11Chapter 10 — Advanced Data Structures – Segment Trees, Fenwick, DSU
12Chapter 11 — Advanced Techniques – Mo’s Algorithm, Meet-in-the-Middle
13Chapter 12 — String Algorithms – Hashing, KMP, and Trie
14Chapter 13 — Game Theory and Constructive Algorithms
15Chapter 14 — Geometry – Points, Lines, and Convex Hull
16Chapter 15 — Flow and Matching – Network Flows and Hungarian
17Chapter 16 — Interview-Focused Problem Patterns
18Chapter 17 — Debugging and Optimization – Profile Your Code
19Chapter 18 — Contest Strategy – Simulate Like a Pro
20Chapter 19 — Building Advanced Templates – Lazy Segment Tree and Sparse Table
21Chapter 20 — Final Project – Create a Custom Contest Submission Tool
22About the Author
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