Example of Constraints format
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Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format
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Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format Example of Constraints format
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open access Open Access
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Constraints — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Discrete Mathematics and Combinatorics #3 of 85 up up by 1 rank
Computational Theory and Mathematics #24 of 133 up up by 19 ranks
Software #125 of 389 up up by 64 ranks
Artificial Intelligence #79 of 227 up up by 7 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 50 Published Papers | 251 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 07/07/2020
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Related Journals

open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 7.3
SJR: 0.73
SNIP: 1.279
open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 44.2
SJR: 3.811
SNIP: 11.215
open access Open Access

Cambridge University Press

Quality:  
Good
CiteRatio: 3.5
SJR: 0.685
SNIP: 1.383
open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 21.8
SJR: 3.463
SNIP: 5.208

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.167

6% from 2018

Impact factor for Constraints from 2016 - 2019
Year Value
2019 1.167
2018 1.106
2017 0.66
2016 1.054
graph view Graph view
table view Table view

5.0

14% from 2019

CiteRatio for Constraints from 2016 - 2020
Year Value
2020 5.0
2019 4.4
2018 3.3
2017 2.5
2016 2.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 6% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 14% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.624

7% from 2019

SJR for Constraints from 2016 - 2020
Year Value
2020 0.624
2019 0.583
2018 0.405
2017 0.288
2016 0.72
graph view Graph view
table view Table view

1.866

29% from 2019

SNIP for Constraints from 2016 - 2020
Year Value
2020 1.866
2019 1.443
2018 1.419
2017 0.919
2016 1.319
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 7% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 29% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Constraints

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Springer

Constraints

Constraints provides a common forum for the many disciplines interested in constraint programming and constraint satisfaction and optimization, and the many application domains in which constraint technology is employed. It covers all aspects of computing with constraints: the...... Read More

Mathematics

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Last updated on
07 Jul 2020
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ISSN
1383-7133
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Impact Factor
High - 2.15
i
Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
SPBASIC
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Citation Type
Author Year
(Blonder et al, 1982)
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Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1023/A:1026441215081
Semiring-Based CSPs and Valued CSPs: Frameworks, Properties,and Comparison

Abstract:

In this paper we describe and compare two frameworks for constraint solving where classical CSPs, fuzzy CSPs, weighted CSPs, partial constraint satisfaction, and others can be easily cast. One is based on a semiring, and the other one on a totally ordered commutative monoid. While comparing the two approaches, we show how to ... In this paper we describe and compare two frameworks for constraint solving where classical CSPs, fuzzy CSPs, weighted CSPs, partial constraint satisfaction, and others can be easily cast. One is based on a semiring, and the other one on a totally ordered commutative monoid. While comparing the two approaches, we show how to pass from one to the other one, and we discuss when this is possible. The two frameworks have been independently introduced in ijcai95,jacm and schiex-ijcai95. read more read less

Topics:

Constraint satisfaction problem (61%)61% related to the paper, Semiring (56%)56% related to the paper, Constraint satisfaction (50%)50% related to the paper
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310 Citations
Journal Article DOI: 10.1007/S10601-008-9064-X
Propagation via lazy clause generation
Olga Ohrimenko1, Peter J. Stuckey1, Michael Codish2

Abstract:

Finite domain propagation solvers effectively represent the possible values of variables by a set of choices which can be naturally modelled as Boolean variables. In this paper we describe how to mimic a finite domain propagation engine, by mapping propagators into clauses in a SAT solver. This immediately results in strong n... Finite domain propagation solvers effectively represent the possible values of variables by a set of choices which can be naturally modelled as Boolean variables. In this paper we describe how to mimic a finite domain propagation engine, by mapping propagators into clauses in a SAT solver. This immediately results in strong nogoods for finite domain propagation. But a naive static translation is impractical except in limited cases. We show how to convert propagators to lazy clause generators for a SAT solver. The resulting system introduces flexibility in modelling since variables are modelled dually in the propagation engine and the SAT solver, and we explore various approaches to the dual modelling. We show that the resulting system solves many finite domain problems significantly faster than other techniques. read more read less

Topics:

Boolean satisfiability problem (57%)57% related to the paper, Domain (software engineering) (52%)52% related to the paper, Boolean data type (50%)50% related to the paper
View PDF
261 Citations
Journal Article DOI: 10.1023/A:1025842019552
Constraint-Based Attribute and Interval Planning
Jeremy Frank1, Ari K. Jonsson1

Abstract:

In this paper we describe Constraint-based Attribute and Interval Planning (CAIP), a paradigm for representing and reasoning about plans. The paradigm enables the description of planning domains with time, resources, concurrent activities, mutual exclusions among sets of activities, disjunctive preconditions and conditional e... In this paper we describe Constraint-based Attribute and Interval Planning (CAIP), a paradigm for representing and reasoning about plans. The paradigm enables the description of planning domains with time, resources, concurrent activities, mutual exclusions among sets of activities, disjunctive preconditions and conditional effects. We provide a theoretical foundation for the paradigm, based on temporal intervals and attributes. We show how the plans are naturally expressed by networks of constraints, and show that the process of planning maps directly to dynamic constraint reasoning. We describe compatibilities, a compact mechanism for describing planning domains. We also demonstrate how this framework incorporates the use of constraint representation and reasoning technology to improve planning. Finally, we describe EUROPA, an implementation of the CAIP framework. read more read less

Topics:

Knowledge representation and reasoning (56%)56% related to the paper
View PDF
253 Citations
Journal Article DOI: 10.1007/BF00143881
Practical applications of constraint programming
Mark Wallace1

Abstract:

Constraint programming offers facilities for problem modelling, constraint propagation and search. This paper discusses the resulting benefits for practical applications which exploit these facilities. The modelling facilities are particularly exploited in applications to verification, both of circuits and of real time contro... Constraint programming offers facilities for problem modelling, constraint propagation and search. This paper discusses the resulting benefits for practical applications which exploit these facilities. The modelling facilities are particularly exploited in applications to verification, both of circuits and of real time control systems. The propagation facilities are exploited in applications involving user feedback and graphical interfaces. The search facilities are exploited in applications such as scheduling and resource allocation, which involve combinatorial problems. The paper surveys applications under each of these three headings. read more read less

Topics:

Constraint programming (61%)61% related to the paper, Constraint satisfaction (61%)61% related to the paper, Constraint satisfaction problem (57%)57% related to the paper, Concurrent constraint logic programming (57%)57% related to the paper, Inductive programming (56%)56% related to the paper
213 Citations
open accessOpen access Journal Article DOI: 10.1007/BF00137870
Interval propagation to reason about sets: Definition and implementation of a practical language
Carmen Gervet1

Abstract:

Local consistency techniques have been introduced in logic programming in order to extend the application domain of logic programming languages. The existing languages based on these techniques consider arithmetic constraints applied to variables ranging over finite integer domains. This makes difficult a natural and concise ... Local consistency techniques have been introduced in logic programming in order to extend the application domain of logic programming languages. The existing languages based on these techniques consider arithmetic constraints applied to variables ranging over finite integer domains. This makes difficult a natural and concise modelling as well as an efficient solving of a class of N P-complete combinatorial search problems dealing with sets. To overcome these problems, we propose a solution which consists in extending the notion of integer domains to that of set domains (sets of sets). We specify a set domain by an interval whose lower and upper bounds are known sets, ordered by set inclusion. We define the formal and practical framework of a new constraint logic programming language over set domains, called Conjunto. Conjunto comprises the usual set operation symbols(\ n), and the set inclusion relation (). Set expressions built using the operation symbols are interpreted as relations (s s 1 = s 2 ,...). In addition, Conjunto provides us with a set of constraints called graduated constraints (e.g. the set cardinality) which map sets onto arithmetic terms. This allows us to handle optimization problems by applying a cost function to the quantiiable, i.e., arithmetic, terms which are associated to set terms. The constraint solving in Conjunto is based on local consistency techniques using interval reasoning which are extended to handle set constraints. The main contribution of this paper concerns the formal deenition of the language and its design and implementation as a practical language. read more read less

Topics:

Infinite set (65%)65% related to the paper, Constraint satisfaction (61%)61% related to the paper, Constraint programming (61%)61% related to the paper, Interval (mathematics) (60%)60% related to the paper, Active set method (60%)60% related to the paper
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200 Citations
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SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

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With SciSpace, you do not need a word template for Constraints.

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You can download a submission ready research paper in pdf, LaTeX and docx formats.

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Time taken to format a paper and Compliance with guidelines

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Constraints format uses SPBASIC citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Constraints in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Constraints guidelines and auto format it.

2. Do you follow the Constraints guidelines?

Yes, the template is compliant with the Constraints guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Constraints?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Constraints citation style.

4. Can I use the Constraints templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Constraints.

5. Can I use a manuscript in Constraints that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Constraints that you can download at the end.

6. How long does it usually take you to format my papers in Constraints?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Constraints.

7. Where can I find the template for the Constraints?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Constraints's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Constraints's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Constraints an online tool or is there a desktop version?

SciSpace's Constraints is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Constraints?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Constraints?”

11. What is the output that I would get after using Constraints?

After writing your paper autoformatting in Constraints, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Constraints's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Constraints?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Constraints. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Constraints?

The 5 most common citation types in order of usage for Constraints are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Constraints?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Constraints's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Constraints in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Constraints Endnote style according to Elsevier guidelines.

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Typset automatically formats your research paper to Constraints formatting guidelines and citation style.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

Andreas Frutiger
Researcher & Ex MS Word user
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