Algorithms Simplified

learn algorithms.

Volume 4 of Algorithms Simplified puts things in order and finds the way through networks. One pile of returned books is sorted by every major method: selection, insertion, bubble and Shell sort, merge sort, quicksort in theory and practice, heapsort, counting, radix and bucket sort, Timsort, external sorting and selection, with the lower bound that limits them all. Then the town map is explored: storing graphs, breadth-first and depth-first search, grids and mazes, cycles and topological order, connected and strongly connected pieces, bipartite graphs, bridges and cut vertices.

- Every sort run on the same data and compared, with the case each one fits
- Worked problems, exercises with solutions, practice, challenge and thinking problems
- Optional formal proofs of correctness and cost

Who it is for: self-learners, university students, working professionals and curious readers. No programming is needed to follow the ideas: every algorithm is told as a story, drawn as a picture and written in plain pseudocode. Readers who want to run the ideas will find tested Python for every algorithm in the free companion code.

Built for working alongside AI coding assistants: knowing the algorithms lets you ask an assistant for the right method, state the cases and the cost you need, spot an answer that is wrong or too slow, and test it before you trust it. The assistant writes the code faster; this book helps you design it well.