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A Perspective of Constraint-Based Reasoning, Hans W. Guesgen; Joachim Hertzberg


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Автор: Hans W. Guesgen; Joachim Hertzberg
Название:  A Perspective of Constraint-Based Reasoning
ISBN: 9783540555100
Издательство: Springer
Классификация:
ISBN-10: 3540555102
Обложка/Формат: Paperback
Страницы: 127
Вес: 0.20 кг.
Дата издания: 10.06.1992
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 8
Основная тема: Computer Science
Подзаголовок: An Introductory Tutorial
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Examining constraint satisfaction, this monograph presents all approaches under a common, generalizing view: dynamic constraints. It aims to provide insights about the different approaches, and to form a practical basis for teaching constraint-based reasoning.


Handbook of Parallel Constraint Reasoning

Автор: Youssef Hamadi; Lakhdar Sais
Название: Handbook of Parallel Constraint Reasoning
ISBN: 3319635158 ISBN-13(EAN): 9783319635156
Издательство: Springer
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Цена: 19564.00 р.
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Описание:

This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units.

The contributions in the book cover the most important and recent contributions in parallel propositional satisfiability (SAT), maximum satisfiability (MaxSAT), quantified Boolean formulas (QBF), satisfiability modulo theory (SMT), theorem proving (TP), answer set programming (ASP), mixed integer linear programming (MILP), constraint programming (CP), stochastic local search (SLS), optimal path finding with A*, model checking for linear-time temporal logic (MC/LTL), binary decision diagrams (BDD), and model-based diagnosis (MBD).

The book is suitable for researchers, graduate students, advanced undergraduates, and practitioners who wish to learn about the state of the art in parallel constraint reasoning.

Logic-Based 0–1 Constraint Programming

Автор: Peter Barth
Название: Logic-Based 0–1 Constraint Programming
ISBN: 146128564X ISBN-13(EAN): 9781461285649
Издательство: Springer
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Цена: 23757.00 р.
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Описание: A logic view of 0-1 integer programming problems, providing new insights into the structure of problems that can lead the researcher to more effective solution techniques depending on the problem class.

Inductive Databases and Constraint-Based Data Mining

Автор: Sa?o D?eroski; Bart Goethals; Pan?e Panov
Название: Inductive Databases and Constraint-Based Data Mining
ISBN: 1489982175 ISBN-13(EAN): 9781489982179
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.

Principles and Practice of Constraint Programming

Автор: Barry O`Sullivan
Название: Principles and Practice of Constraint Programming
ISBN: 3319104276 ISBN-13(EAN): 9783319104270
Издательство: Springer
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Цена: 14535.00 р.
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Описание: This book constitutes the refereed conference proceedings of the 20th International Conference on Principles and Practice of Constraint Programming, CP 2014, held in Lyon, France, in September 2014.The 65 revised papers presented together with 4 invited talks were carefully selected from 108 submissions.

Integration of AI and OR Techniques in Constraint Programming

Автор: Domenico Salvagnin; Michele Lombardi
Название: Integration of AI and OR Techniques in Constraint Programming
ISBN: 3319597752 ISBN-13(EAN): 9783319597751
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Sharpening Constraint Programming approaches for Bit-Vector Theory.- Range-Consistent Forbidden Regions of Allen's Relations.- MDDs are Efficient Modeling Tools: An Application to Dispersion Constraints.- On Finding the Optimal Relaxed Decision Diagram.- Design and Implementation of Bounded-Length Sequence Variables.- In Search of Balance: The Challenge of Generating Balanced Latin Rectangles.- Debugging Unsatisfiable Constraint Models.- Learning Decision Trees with Exible Constraints and Objectives Using Integer Optimization.- Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery.- Minimizing Landscape Resistance for Habitat Conservation.- A Hybrid Approach for Stator Winding Design Optimization.- A Distributed Optimal Method for the Geographically Distributed Data Centres Problem.- Explanation-Based-Weighted Degree.- Counting-Weighted Spanning Trees to Solve Constrained Minimum Spanning Tree Problems.- The Weighted Arborescence Constraint.- Learning When to Use a Decomposition.- Experiments with Conict Analysis in Mixed Integer Programming.- A First Look at Picking Dual Variables for Maximizing Reduced-cost Based fixing.- Experimental Validation of Volume-based Comparison for Double-McCormick Relaxations.- Vehicle Routing Problem with Min-max Objective and Heterogeneous Fleet.- Solving the Traveling Salesman Problem with Time Windows with Dynamic Discretization Discovery.- A Fast Prize-collecting Steiner Forest Algorithm for Functional Analyses in Biological Networks.- Scenario Based Learning for Stochastic Combinatorial Optimization.- Optimal Stock Sizing in a Cutting Stock Problem with Stochastic Demands.- Stochastic Task Networks: Trading Performance for Stability.- Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables.- A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem.- Combining CP and ILP in a Tree Decomposition of Bounded Height to Solve the Sum Coloring Problem.- A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond.- The Nemhauser-Trotter Reduction and Lifted Message Passing for Weighted CSPs.- A Local Search Approach for Incomplete Soft Constraint Problems: Experimental Results on Meeting Scheduling Problems.

Constraint and Integer Programming

Автор: Michela Milano
Название: Constraint and Integer Programming
ISBN: 146134719X ISBN-13(EAN): 9781461347194
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.

Dynamic Flexible Constraint Satisfaction and its Application to AI Planning

Автор: Ian Miguel
Название: Dynamic Flexible Constraint Satisfaction and its Application to AI Planning
ISBN: 144711048X ISBN-13(EAN): 9781447110484
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 1 Solving Classical CSPs . 2 Applicat ions of Classical CSP . 3 Limitations of Classical CSP . 2 Dynamic CSP . 4 Dynamic Flexible CSP . 1 Constraints and Constraint Graphs . 2 Tree Search Solution Techniques for Classical CSP . 1 Backtrack . 2 Backjumping .

Distributed Constraint Satisfaction

Автор: Makoto Yokoo
Название: Distributed Constraint Satisfaction
ISBN: 3642640206 ISBN-13(EAN): 9783642640209
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Distributed Constraint Satisfaction gives an overview of Constraint Satisfaction Problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems.

Integration of AI and OR Techniques in Constraint Programming

Автор: Laurent Michel
Название: Integration of AI and OR Techniques in Constraint Programming
ISBN: 331918007X ISBN-13(EAN): 9783319180076
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the proceedings of the 12th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2015, held in Barcelona, Spain, in May 2015.

Principles and Practice of Constraint Programming

Автор: Rueher
Название: Principles and Practice of Constraint Programming
ISBN: 3319449524 ISBN-13(EAN): 9783319449524
Издательство: Springer
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Цена: 14814.00 р.
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Описание: This book constitutes the refereed conference proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming, CP 2016, held in Toulouse, France, in September 2016. The papers are grouped into the following tracks: technical track;

Constraint Solving and Planning with Picat

Автор: Zhou Neng Fa
Название: Constraint Solving and Planning with Picat
ISBN: 3319258818 ISBN-13(EAN): 9783319258812
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

An Overview of Picat.- Basic Constraint Modeling.- Advanced Constraint Modeling.- Dynamic Programming with Tabling.- From Dynamic Programming to Planning.- Planning with Resource-Bounded Search.- Encodings for the Traveling Salesman Problem.- Index.


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