Theory Of Computer Science: Theory of Automata, language and Computation is helpful for people who actively seek the habit of inculcating knowledge in computer science. This extensive academic work discusses computation and formal computer languages. This book’s main focus, automata, is taught in detail and in manners that are simple to understand throughout. Students can use this book to assess their understanding of the ideas covered in each chapter. In addition, answers to the questions given at the end of each chapter are explained in the book’s concluding section. Each chapter of the book includes objective-type questions to assist students develop their problem-solving skills. Numerous examples that highlight fundamental ideas are provided throughout this book. Diagrams are used extensively to illustrate it. I hope you learn a lot from this book.


Real-world computers do calculations that by nature, behave like mathematical models to find systematic solutions to problems. The goal of the theory of computation is to assist in the creation of mathematical and logical models that operate effectively and indefinitely. Since TOC is applied by all machines that implement logic, understanding TOC enables students to understand the limitations of computer hardware and software.

Theory of Automata:

A theoretical area of computer science and mathematics called automata theory, commonly referred to as theory of computation, focuses on the logic of computation with regard to simple machines known as automata.
Scientists can learn how machines compute functions and solve problems by using automata. Developing techniques to define and evaluate the dynamic behavior of discrete systems was the primary driving force behind the creation of automata theory.
For the purpose of machine execution, programs are formally created from descriptions of calculations. We now know that TOC is interested in a formalism that facilitates the creation of effective programs.

Topics covered by this book:

  • Propositions and Predicates

  •  Mathematical Preliminaries

  •  The Theory of Automata

  •  Formal Languages

  •  Regular Sets and Regular Grammars

  •  Context-Free Languages

  •  Pushdown Automata

  •  LRk Grammars

  •  Turing Machines and Linear Bounded Automata

  •  Decidability and Recursively Enumerable Languages

  •  Computability

  •  Complexity

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