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Constraint Programming and Decision Making: Theory and Applications

Overview of attention for book
Cover of 'Constraint Programming and Decision Making: Theory and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Why Deep Neural Networks: A Possible Theoretical Explanation
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    Chapter 2 Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multi-experts Multi-criteria Decision Making
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    Chapter 3 Constraint Approach to Multi-objective Optimization
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    Chapter 4 From Global to Local Constraints: A Constructive Version of Bloch’s Principle
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    Chapter 5 Optimizing pred(25) Is NP-Hard
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    Chapter 6 Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity
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    Chapter 7 Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-valued Functions (Constraints)
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    Chapter 8 Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant
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    Chapter 9 Comparing Operation Points in Linear Programming with Fuzzy Constraints
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    Chapter 10 On Modeling Multi-experts Multi-criteria Decision-Making Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered
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    Chapter 11 Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
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    Chapter 12 Automatic Loop-Shaping of $${H_\infty }$$ / $$\mu $$ Problem in QFT Using Interval Consistency Based Hybrid Optimization
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    Chapter 13 Existence of the Nash-Optimal Strategies in the Meta-Game
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    Chapter 14 Peak-End Rule: A Utility-Based Explanation
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    Chapter 15 Similarity Approach to Defining Basic Level of Concepts Explained from the Utility Viewpoint
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    Chapter 16 Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When can we Determine the Accuracies from These Constraints?
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    Chapter 17 Dow Theory’s Peak-and-Trough Analysis Justified
Attention for Chapter 11: Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
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Chapter title
Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
Chapter number 11
Book title
Constraint Programming and Decision Making: Theory and Applications
Published in
arXiv, January 2018
DOI 10.1007/978-3-319-61753-4_11
Book ISBNs
978-3-31-961752-7, 978-3-31-961753-4
Authors

Milan Hladík, Hladík, Milan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Professor 1 20%
Professor > Associate Professor 1 20%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Mathematics 2 40%
Computer Science 2 40%
Engineering 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2017.
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#20,414,746
of 22,965,074 outputs
Outputs from arXiv
#673,770
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#377,840
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#18,918
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