Concept

Induction of regular languages

Related lectures (17)

Covers regular languages, encoding, alphabets, words, languages, concatenation, exponentiation, and iterative closure.

Covers the fundamentals of regular expressions and includes exercises on defining languages.

Introduces the basics of automata theory and explores the theorems of regular languages.

Covers the computation of 'nullable' and 'first' for regular expressions.

Introduces regular expressions, covering language sets, syntax, semantics, and limitations.

Explores regular expressions, including their history, operators, lexical analysis, and manual construction of lexers.

Introduces automata, regular languages limitations, context-free grammars, and balanced parentheses grammars.

Provides an overview of grammars and parsers in computer language processing.

Covers the computation of 'nullable' and 'first' for regular expressions, converting expressions into a lexer, and handling token priorities.

Explores the transition from regular expressions to finite automata, covering lexer creation, different automata types, and conversion processes.

Explores interlacing families of polynomials and 1-sided Ramanujan graphs, focusing on their properties and construction methods.

Introduces the basics of finite automata, including deterministic and non-deterministic types, regular expressions, and acceptance criteria.

Covers regular expressions, Kleene's contributions, logic, lexical analysis, and manual lexer construction.

Covers the fundamentals of finite automata and formal languages.

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

Introduces the CYK parsing algorithm for context-free grammars, explaining its handling of ambiguity and importance in parsing general grammars.

Explains the transformation from a DFA to a Regular Expression and discusses important concepts in automata theory.