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Theory of Computational Complexity

Praise for the First Edition ...complete, up-to-date coverage of computational complexity theory...the book promises to become the;

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Recursion Theory and Computational Complexity

S. Homer: Admissible recursion theory.- B.E. Jacobs: Computational complexity and recursion theory.- D. Normann: A survey of set recursion;

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Complexity Dichotomies for Counting Problems

Complexity theory aims to understand and classify computational problems, especially decision problems, according to their inherent;

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Computing and Combinatorics

Structures; Computational Complexity; Approximation Algorithms; Cryptography; Network and Algorithms; Graph Theory and Algorithms; Computational;

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Noisy Information and Computational Complexity

develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications;

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Noisy Information and Computational Complexity

develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications;

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Descriptive Complexity, Canonisation, and Definable Graph St

Descriptive complexity theory establishes a connection between the computational complexity of algorithmic problems (the computational;

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Computing and Combinatorics

randomized methods; logic, algebra and automata; database and data structures; parameterized complexity and algorithms; computational complexity;

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Computer Science - Theory and Applications

broad range of topics, such as: algorithms and data structures; computational complexity, including hardness of approximation and parameterized;

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Computing and Combinatorics

to algorithms and complexity; complexity theory; computational learning theory and knowledge discovery; cryptography, reliability and;

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Computational Complexity

limited natural computational resources). This book offers a conceptual perspective on complexity theory. It is intended to serve as an;

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Algorithms and Complexity

Conference on Algorithms and Complexity is intended to provide a forum for researchers working in all aspects of computational complexity and the use;

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Complexity and Postmodernism

philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory;

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Complexity and Postmodernism

philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory;

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Mathematics and Computation

An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural;

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Computational Complexity

This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring;

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Algorithms and Complexity

algorithms and data structures. The papers present original research in the theory and applications of algorithms and computational complexity;

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Computing and Combinatorics

various topics, including algorithm design, approximation algorithm, graph theory, complexity theory, problem solving, optimization, computational;

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Foundations of Software Science and Computation Structures

; logical aspects of computational complexity; and type theory, proof theory and implicit computational complexity. The book also contains one full;

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Introduction To Automata Theory Language

This classic book on formal languages, automata theory, and computational complexity has been updated to present theoretical concepts in a;

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LATIN 2018: Theoretical Informatics

, combinatorial algorithms, combinatorial optimization, combinatorics and graph theory, complexity theory, computational algebra, computational biology;

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Computing and Combinatorics

. The papers cover various topics, including algorithms and data structures, complexity theory and computability, algorithmic game theory;

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Computing and Combinatorics

algorithms; automata, languages, logic and computability; complexity theory; computational learning theory; cryptography, reliability and security;

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Quotient Space Based Problem Solving

theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing;

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Theory and Applications of Models of Computation

all topics relating to the theory and applications of models computation, for example recursion theory and mathematical logic; computational;

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Algorithms and Complexity

together with 2 invited papers. The papers present original research in the theory and applications of algorithms and computational complexity.;

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Algorithmic Learning Theory

complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization;

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