Introduction to Automata Theory, Languages, And Computation Introduction to Automata Theory, Languages, And Computation

Theory of computation, Automata Theory, Formal Language and Automata Theory

The aim of this textbook is to provide undergraduate students with an introduction to the basic theoretical models of computability, and to develop some of the model's rich and varied structure. Students who have already some experience with elementary discrete mathematics will find this a well-paced first course, and a number of supplementary chapters introduce more advanced concepts.

This book is both an easy-to-read textbook for invariant theory and a challenging research monograph that introduces a new approach to the algorithmic side of invariant theory. Students will find the book an easy introduction to this "classical and new" area of mathematics. Researchers in mathematics, symbolic computation, and computer science will get access to research ideas, hints for applications, outlines and details of algorithms, examples and problems.

This textbook for invariant theory and research monograph that introduces a new approach to the algorithmic side of invariant theory. The Groebner-based method is the main tool by which the central problems in invariant theory become amenable to algorithmic solutions. Students should find the book useful as an introduction to this classical and new area of mathematics. Researchers in mathematics, symbolic computation and computer science should get access to a wealth of research ideas, hints for applications, outlines and details of algorithms, worked-out examples and research problems.

FA (DFA, NFA), PDA, LBA, Turing Machine