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Finite-state machine

As explained in Fabulous Adventures in Data Structures and Algorithms

A finite state automaton, or finite state machine, is a computational model with finitely many states and transitions governed by input-dependent rules.

A finite-state machine (FSA) models a simple machine with finitely many states and inputs. Each input moves it to a state determined by its current state and that input. section 5.3

A vending machine illustrates the idea: its response to a selection button depends on the input and its current state, such as whether payment is sufficient and the item is available. section 5.3

A trie can be viewed as an FSA: nodes are states, edge labels are inputs, and the root is the start state. Nodes marked as success states recognize accepted strings; the set of those strings is the machine’s language. section 5.3

This view makes trie optimization a state-minimization problem: merge functionally identical states while preserving the language accepted. Tries store word prefixes; minimizing them can reduce redundant states and memory use. section 5.3 section 5.6

How Fabulous Adventures in Data Structures and Algorithms covers it

How deep it goes
Defines states, inputs, transitions, and accepted languages, then frames minimization without detailing a specific algorithm.
Examples
Uses a vending machine and a trie recognizing a word list, with word completion and word-game moves as applications.
What you can do after
Understand how trie nodes encode states and why merging equivalent states can reduce storage without changing accepted words.
How it connects
Connects finite-state machines to tries, accepted languages, and directed acyclic word graphs.

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This explainer was generated by Manning's knowledge graph from the text of Fabulous Adventures in Data Structures and Algorithms. The section links point to the parts of the book it draws on.