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Theory and Applications of Satisfiability Testing – SAT 2015

Overview of attention for book
Cover of 'Theory and Applications of Satisfiability Testing – SAT 2015'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 CCAnr: A Configuration Checking Based Local Search Solver for Non-random Satisfiability
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    Chapter 2 PBLib – A Library for Encoding Pseudo-Boolean Constraints into CNF
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    Chapter 3 Speeding up MUS Extraction with Preprocessing and Chunking
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    Chapter 4 Improved Algorithms for Sparse MAX-SAT and MAX-k-CSP
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    Chapter 5 Laissez-Faire Caching for Parallel #SAT Solving
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    Chapter 6 SATGraf : Visualizing the Evolution of SAT Formula Structure in Solvers
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    Chapter 7 Hints Revealed
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    Chapter 8 Mining Backbone Literals in Incremental SAT
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    Chapter 9 Constructing SAT Filters with a Quantum Annealer
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    Chapter 10 $$\#\exists $$ SAT: Projected Model Counting
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    Chapter 11 Theory and Applications of Satisfiability Testing -- SAT 2015
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    Chapter 12 HordeSat: A Massively Parallel Portfolio SAT Solver
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    Chapter 13 Preprocessing for DQBF
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    Chapter 14 Incrementally Computing Minimal Unsatisfiable Cores of QBFs via a Clause Group Solver API
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    Chapter 15 On Compiling CNFs into Structured Deterministic DNNFs
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    Chapter 16 SpySMAC : Automated Configuration and Performance Analysis of SAT Solvers
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    Chapter 17 Community Structure Inspired Algorithms for SAT and #SAT
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    Chapter 18 Using Community Structure to Detect Relevant Learnt Clauses
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    Chapter 19 Recognition of Nested Gates in CNF Formulas
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    Chapter 20 Exploiting Resolution-Based Representations for MaxSAT Solving
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    Chapter 21 Theory and Applications of Satisfiability Testing -- SAT 2015
  23. Altmetric Badge
    Chapter 22 Volt: A Lazy Grounding Framework for Solving Very Large MaxSAT Instances
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    Chapter 23 Between SAT and UNSAT: The Fundamental Difference in CDCL SAT
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    Chapter 24 Theory and Applications of Satisfiability Testing -- SAT 2015
  26. Altmetric Badge
    Chapter 25 QELL: QBF Reasoning with Extended Clause Learning and Levelized SAT Solving
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    Chapter 26 SMT-RAT : An Open Source C++ Toolbox for Strategic and Parallel SMT Solving
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    Chapter 27 Search-Space Partitioning for Parallelizing SMT Solvers
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    Chapter 28 A New Approach to Partial MUS Enumeration
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    Chapter 29 Evaluating CDCL Variable Scoring Schemes
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    Chapter 30 Theory and Applications of Satisfiability Testing -- SAT 2015
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
5 X users
wikipedia
2 Wikipedia pages

Citations

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3 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Theory and Applications of Satisfiability Testing – SAT 2015
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-24318-4
ISBNs
978-3-31-924317-7, 978-3-31-924318-4
Authors

Marijn Heule, Sean Weaver

Editors

Heule, Marijn, Weaver, Sean

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 31%
Student > Postgraduate 7 16%
Student > Bachelor 6 13%
Student > Ph. D. Student 6 13%
Professor > Associate Professor 3 7%
Other 7 16%
Unknown 2 4%
Readers by discipline Count As %
Social Sciences 17 38%
Environmental Science 12 27%
Business, Management and Accounting 2 4%
Earth and Planetary Sciences 2 4%
Economics, Econometrics and Finance 2 4%
Other 7 16%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 February 2023.
All research outputs
#5,563,368
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#1,598
of 8,229 outputs
Outputs of similar age
#72,684
of 365,327 outputs
Outputs of similar age from Lecture notes in computer science
#75
of 257 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,327 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.