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Complexity of Infinite-Domain Constraint Satisfaction

Constraint Satisfaction Problems (CSPs) are natural computational problems that appear in many areas of theoretical computer science;

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Constraint-Based Reasoning

. Mackworth * The Logic of Constraint Satisfaction, A. K. Mackworth * Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace * Constraint;

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Constraint Satisfaction Problems

A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The;

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Complexity Dichotomies for Counting Problems

homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory;

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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed;

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The NCL Natural Constraint Language

modeling and solving constraint satisfaction problems. NCL differs from other declarative languages: It models problems naturally in a simplified;

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Logic-Based Methods for Optimization

A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization;

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Constraint Processing

Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to;

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Ant Colony Optimization and Constraint Programming

declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including;

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems;

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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems

set of constraints. Central to solving constraint satisfaction problems is enforcing a level of local consistency. In this thesis, we propose;

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Constraint Networks

A major challenge in constraint programming is to develop efficient generic approaches to solve instances of the constraint satisfaction;

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Solving Geometric Constraint Systems

of freedom, as an alternative to symbolic algebraic or iterative numerical techniques for solving geometric constraint satisfaction problems. He;

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Visual Complexity and Intelligent Computer Graphics Techniques Enhancements

, mainly declarative ones. Among them, the mostly used techniques are Expert systems, Constraint Satisfaction Problem resolution and Machine;

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Computer Science - Theory and Applications

complexity; randomness in computing, approximation algorithms, fixed-parameter algorithms; combinatorial optimization, constraint satisfaction;

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Infinity in Logic and Computation

as automata on infinite objects; combinatorics, cryptography and complexity; computability and complexity on the real numbers; infinite games;

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Constraints in Computational Logics: Theory and Applications

Constraints provide a declarative way of representing infinite sets of data. They are well suited for combining different logical or;

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Information, Physics, And Computation

message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also;

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Absorbing Boundaires & Layers, Domain Decomposition Methods

where artificial boundaries are introduced. First, for computing in a bounded region by a problem formulated on an infinite domain and secondly;

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Sparsity

tractability and constraint satisfaction problems). It should be stressed that despite of its generality this approach leads to linear (and nearly;

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Computational Complexity of Solving Equation Systems

This volume considers the computational complexity of determining whether a system of equations over a fixed algebra A has a solution. It;

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Exact Constraint

Exact Constraint: Machine Design Using Kinematic Principles gives you a unique and powerful set of rules and techniques to facilitate the;

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The Inclusion-Based Boundary Element Method (iBEM)

system in the infinite domain. It also shows how switching the Green's function for infinite domain solutions to semi-infinite domain solutions;

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Intelligent Techniques for Planning

of artificial intelligence. This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques;

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Advances in Artificial Intelligence

, Canadian AI 2007, held in Montreal, Canada, in May 2007. The 46 revised full papers cover agents, bioinformatics, classification, constraint;

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Planning, Scheduling and Constraint Satisfaction

planning, scheduling, constraint satisfaction, mixed-initiative planning and scheduling, temporal reasoning, knowledge representation, formal;

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Non-commutative Cryptography and Complexity of Group-theoretic Problems

, cryptography, and complexity theory. It explores how non-commutative (infinite) groups, which are typically studied in combinatorial group theory, can;

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