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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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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order;

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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Sy

introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order;

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Constraint-Based Reasoning

Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include;

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Metaheuristics for Intelligent Electrical Networks

strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization;

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Handbook of Constraint Programming

Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from;

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PRICAI 2016: Trends in Artificial Intelligence

submissions. Pricai covers a wide range of topics such as AI foundations; applications of AI; semantic web; information retrieval; constraint;

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Algorithms and Architectures

techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems.

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Simulating Neural Networks with Mathematica

Mathematica Training by Error Minimization Backpropagation and Its Variants Probability and Neural Networks Optimization and Constraint Satisfaction;

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Planning and Integration of Refinery and Petrochemical Operations

necessary, including stochastic programming, chance constraint programming, and robust optimization. For engineers and managers working in the;

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Clustering and Routing Algorithms for Wireless Sensor Networks

Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power;

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Ant Colony Optimization and Constraint Programming

author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint;

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Principles of Constraint Programming

Scheduling, vehicle routing and timetabling are all examples of constraint problems, and methods to solve them rely on the idea;

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Optimization of MANETs Efficiency Through Rational Energy Consumption

infrastructureless networks. The main challenge however with the mobile devices is the constraint of energy resource. Communications technology has taken a;

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Einfuhrung in Die Constraint-Programmierung

Die Constraint-Programmierung liefert Methoden zur effizienten Modellierung von Systemen oder zur Loesung von Problemen, fur die nur;

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Data Mining and Constraint Programming

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching;

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Geometric Constraint Solving and Applications

Geometric constraint programming increases flexibility in CAD design specifications and leads to new conceptual design paradigms.This;

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Computer Science - Theory and Applications

papers cover a wide range of topics such as algorithms and data structures; combinatorial optimization; constraint solving; computational;

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Decision Support for Product Development

product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise;

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Graph Algorithms And Applications 3

, constraint systems, databases, graph drawing, graph embedding and layout, knowledge representation, multimedia, software engineering;

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Graph Algorithms And Applications 5

, constraint systems, databases, graph drawing, graph embedding and layout, knowledge representation, multimedia, software engineering;

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Introduction to Constraint Databases

Differing from other books on the subject, this one uses the framework of constraint databases to provide a natural and powerful;

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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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Constraint-Based Grammar Formalisms

Constraint-based theories of grammar and grammar formalisms are becoming an increasingly widespread area of research in computational;

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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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Design Framework and Methodology for Synthesis of Networks-On-Chip

still have to cope with the complexity of systems and in order to meet the time-to-market constraint they need good design flows and tools to;

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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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