Learning Algorithm

Livro digital

Título:
Learning Algorithm

Autor:
Compiled from StackOverflow documentation

Categoria:
Tecnologia > Backend

Doador:
Raffaello D. N.

Sinopse:
This book is for readers who want a practical map of algorithms, not just abstract theory. Its table of contents starts with getting started, then moves quickly into A* pathfinding, algorithm complexity, and the core ideas behind Big-O, Big-Theta, and Big-Omega, which makes the learning path unusually explicit from the outset. The chapters span classic data structures and methods, including binary search trees, binary tree traversals, breadth-first search, greedy techniques, dynamic programming, shortest-path algorithms like Bellman-Ford and Dijkstra, and a long sequence of sorting and searching topics such as bubble sort, merge sort, quicksort, radix sort, and binary search. It also covers graph theory, hash functions, knapsack, longest common subsequence, and other standard programming problems, with code examples in multiple languages. The result is a broad, example-driven reference that feels like a curated algorithms handbook. The mix of fundamentals, graph algorithms, optimization problems, and implementation-focused chapters makes it useful both as a study companion and as a quick lookup guide for common algorithmic patterns.