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This book constitutes the refereed proceedings of the 17th International Conference on Descriptional Complexity of Formal Systems, DCFS 2015, held in Waterloo, ON, Canada, in June 2015. The 23 full papers presented together with 2 invited talks were carefully reviewed and selected from 29 submissions. The subject of the workshop was descriptional complexity. Roughly speaking, this field is concerned with the size of objects in various mathematical models of computation, such as finite automata, pushdown automata, and Turing machines. Descriptional complexity serves as a theoretical representation of physical realizations, such as the engineering complexity of computer software and hardware. It also models similar complexity phenomena in other areas of computer science, including unconventional computing and bioinformatics.
Computer Science. --- Computation by Abstract Devices. --- Mathematical Logic and Formal Languages. --- Logics and Meanings of Programs. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Computer science. --- Computer software. --- Logic design. --- Computational complexity. --- Informatique --- Logiciels --- Structure logique --- Complexité de calcul (Informatique) --- Computer Science --- Engineering & Applied Sciences --- Computers. --- Algorithms. --- Computer logic. --- Mathematical logic. --- Computer science --- Mathematics. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Science --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Computer science logic --- Logic, Symbolic and mathematical --- Algorism --- Algebra --- Arithmetic --- Foundations --- Complexity, Computational --- Software, Computer --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Switching theory --- Formal methods (Computer science) --- Computer science—Mathematics. --- Machine theory. --- Discrete mathematics. --- Theory of Computation. --- Formal Languages and Automata Theory. --- Computer Science Logic and Foundations of Programming. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Abstract automata --- Abstract machines --- Automata --- Mathematical machine theory --- Algorithms --- Recursive functions --- Robotics
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Analyse combinatoire. --- Analyse combinatoire --- Nombres, Théorie des. --- Combinatorial analysis. --- Combinatorial analysis --- Number theory. --- Combination (Linguistics) --- Informatique. --- Data processing. --- Walnut (Electronic resource) --- Nombres, Théorie des.
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This book constitutes the refereed proceedings of the 17th International Conference on Descriptional Complexity of Formal Systems, DCFS 2015, held in Waterloo, ON, Canada, in June 2015. The 23 full papers presented together with 2 invited talks were carefully reviewed and selected from 29 submissions. The subject of the workshop was descriptional complexity. Roughly speaking, this field is concerned with the size of objects in various mathematical models of computation, such as finite automata, pushdown automata, and Turing machines. Descriptional complexity serves as a theoretical representation of physical realizations, such as the engineering complexity of computer software and hardware. It also models similar complexity phenomena in other areas of computer science, including unconventional computing and bioinformatics.
Mathematical logic --- Logic --- Complex analysis --- Discrete mathematics --- Mathematics --- Computer science --- Computer. Automation --- discrete wiskunde --- complexe analyse (wiskunde) --- computers --- informatica --- externe fixatie (geneeskunde --- programmeren (informatica) --- wiskunde --- algoritmen --- logica
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Formal languages. --- Langages formels --- Automates abstraits
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Automatic sequences are sequences over a finite alphabet generated by a finite-state machine. This book presents a novel viewpoint on automatic sequences, and more generally on combinatorics on words, by introducing a decision method through which many new results in combinatorics and number theory can be automatically proved or disproved with little or no human intervention. This approach to proving theorems is extremely powerful, allowing long and error-prone case-based arguments to be replaced by simple computations. Readers will learn how to phrase their desired results in first-order logic, using free software to automate the computation process. Results that normally require multipage proofs can emerge in milliseconds, allowing users to engage with mathematical questions that would otherwise be difficult to solve. With more than 150 exercises included, this text is an ideal resource for researchers, graduate students, and advanced undergraduates studying combinatorics, sequences, and number theory.
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Written for graduate students and advanced undergraduates in computer science, A Second Course in Formal Languages and Automata Theory treats topics in the theory of computation not usually covered in a first course. After a review of basic concepts, the book covers combinatorics on words, regular languages, context-free languages, parsing and recognition, Turing machines, and other language classes. Many topics often absent from other textbooks, such as repetitions in words, state complexity, the interchange lemma, 2DPDAs, and the incompressibility method, are covered here. The author places particular emphasis on the resources needed to represent certain languages. The book also includes a diverse collection of more than 200 exercises, suggestions for term projects, and research problems that remain open.
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Number theory --- Algorithms. --- Data processing.
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Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section that appears at the end of each chapter. The bibliography contains over 1,750 citations to the literature. Finally, it successfully blends computational theory with practice by covering some of the practical aspects of algorithm implementations.The subject of algorithmic number theory represents the marriage of number theory with the theory of computational complexity. It may be briefly defined as finding integer solutions to equations, or proving their non-existence, making efficient use of resources such as time and space. Implicit in this definition is the question of how to efficiently represent the objects in question on a computer. The problems of algorithmic number theory are important both for their intrinsic mathematical interest and their application to random number generation, codes for reliable and secure information transmission, computer algebra, and other areas. [Publisher]
Number theory --- Algorithms. --- Théorie algorithmique des nombres. --- Algorithmes. --- Data processing.
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Number theory --- Algorithms --- Data processing
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his book constitutes the refereed proceedings of the 18th International Conference on Descriptional Complexity of Formal Systems, DCFS 2016, held in Bucharest, Romania, in July 2016. The 13 full papers presented together with 4 invited talks were carefully reviewed and selected from 21 submissions. Descriptional Complexity is a field in Computer Science that deals with the size of all kind of objects that occur in computational models, such as Turing Machines, finte automata, grammars, splicing systems and others. The topics of this conference are related to all aspects of descriptional complexity. .
Computer science. --- Computers. --- Algorithms. --- Computer logic. --- Mathematical logic. --- Computer science --- Computer Science. --- Mathematical Logic and Formal Languages. --- Logics and Meanings of Programs. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Computer science logic --- Algorism --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Informatics --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Logic, Symbolic and mathematical --- Algebra --- Arithmetic --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Science --- Foundations --- Logic design. --- Computer software. --- Computational complexity. --- Complexity, Computational --- Software, Computer --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Switching theory --- Formal methods (Computer science) --- Computer science—Mathematics. --- Machine theory. --- Discrete mathematics. --- Formal Languages and Automata Theory. --- Computer Science Logic and Foundations of Programming. --- Theory of Computation. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Abstract automata --- Abstract machines --- Automata --- Mathematical machine theory --- Algorithms --- Recursive functions --- Robotics
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