Ergebnisse für: constraint analysis
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This book provides a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students, since the main body of the text is self-contained, with each section rounded off by an...
When multiple agents are in a shared environment, there usually exist con straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agen...
Optimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible a...
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The book has been completely rewritten for this new edition. While most of the material found in the earlier editions has been retained, though in changed form, there are considerable additions, in which extensive use is made of Fourier transform techniques, Hilbert space, and finite difference meth...
This book examines the symbiotic interplay between fully nonlinear elliptic partial differential equations and general potential theories of second order. Starting with a self-contained presentation of the classical theory of first and second order differentiability properties of convex functions, i...
This book examines the symbiotic interplay between fully nonlinear elliptic partial differential equations and general potential theories of second order. Starting with a self-contained presentation of the classical theory of first and second order differentiability properties of convex functions, i...
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Coordinating production across a supply chain, designing a new VLSI chip, allocating classrooms or scheduling maintenance crews at an airport are just a few examples of complex (combinatorial) problems that can be modeled as a set of decision variables whose values are subject to a set of constraint...
Coordinating production across a supply chain, designing a new VLSI chip, allocating classrooms or scheduling maintenance crews at an airport are just a few examples of complex (combinatorial) problems that can be modeled as a set of decision variables whose values are subject to a set of constraint...
Computational cognitive modeling explores cognition by building computational models for cognitive processes, mechanisms and representations. Currently, implementations of cognitive models lack a formal foundation. This inhibits analysis.
In this thesis, the cognitive architecture Adaptive Control...
Constraint Handling Rules (CHR) is both a theoretical formalism and a practical programming language. This book provides an overview of CHR research based on a reviewed selection of doctoral theses. After a basic introduction to CHR, the book presents results from three different areas of CHR resear...
A general framework for robust analysis and control: an integral quadratic constraint based approach
In this thesis we are concerned with the robustness analysis and control of uncertain systems. We built upon a powerful framework, the so-called integral quadratic constraint (IQC) approach, which enables us, not only to efficiently perform robust stability and performance analysis for a large class...
Autonomous agents have become a vibrant research and development topic in recent years attracting activity and attention from various areas. The basic agent concept incorporates proactive autonomous units with goal-directed-behaviour and communication capabilities. The book focuses on autonomous age...
The ConstraintHandling Rules (CHR) languagecameto life morethan 15 years ago.Sincethen,ithasbecomeamajordeclarativespeci?cationandimplemen- tion language for constraint-based algorithms and applications. In recent years, the ?ve Workshops on Constraint Handling Rules have spurred the exchange of ide...
When multiple agents are in a shared environment, there usually exist con straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agen...
When multiple agents are in a shared environment, there usually exist con straints among the possible actions of these agents. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agen...
Autonomous agents have become a vibrant research and development topic in recent years attracting activity and attention from various areas. The basic agent concept incorporates proactive autonomous units with goal-directed-behaviour and communication capabilities. The book focuses on autonomous age...
Constraint Programming is an approach for modeling and solving combi- torial problems that has proven successful in many applications. It builds on techniques developed in Arti?cial Intelligence, Logic Programming, and - erations Research. Key techniques are constraint propagation and heuristic sear...
The ConstraintHandling Rules (CHR) languagecameto life morethan 15 years ago.Sincethen,ithasbecomeamajordeclarativespeci?cationandimplemen- tion language for constraint-based algorithms and applications. In recent years, the ?ve Workshops on Constraint Handling Rules have spurred the exchange of ide...