Example of Computational Methods in Applied Mathematics format
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Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format
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Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format Example of Computational Methods in Applied Mathematics format
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open access Open Access

Computational Methods in Applied Mathematics — Template for authors

Publisher: De Gruyter
Categories Rank Trend in last 3 yrs
Applied Mathematics #181 of 548 up up by 9 ranks
Numerical Analysis #26 of 66 down down by 6 ranks
Computational Mathematics #63 of 152 up up by 5 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 178 Published Papers | 487 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 19/06/2020
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Related Journals

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Quality:  
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SJR: 1.882
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Wiley

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Taylor and Francis

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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

2.7

8% from 2019

CiteRatio for Computational Methods in Applied Mathematics from 2016 - 2020
Year Value
2020 2.7
2019 2.5
2018 2.1
2017 1.9
2016 1.5
graph view Graph view
table view Table view

1.095

2% from 2019

SJR for Computational Methods in Applied Mathematics from 2016 - 2020
Year Value
2020 1.095
2019 1.069
2018 0.947
2017 1.291
2016 0.918
graph view Graph view
table view Table view

1.193

31% from 2019

SNIP for Computational Methods in Applied Mathematics from 2016 - 2020
Year Value
2020 1.193
2019 0.91
2018 0.953
2017 0.929
2016 0.957
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 2% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 31% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Computational Methods in Applied Mathematics

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De Gruyter

Computational Methods in Applied Mathematics

Approved by publishing and review experts on SciSpace, this template is built as per for Computational Methods in Applied Mathematics formatting guidelines as mentioned in De Gruyter author instructions. The current version was created on 18 Jun 2020 and has been used by 165 authors to write and format their manuscripts to this journal.

Mathematics

i
Last updated on
18 Jun 2020
i
ISSN
1609-4840
i
Impact Factor
High - 1.085
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. Specular andreev reflection in graphene. Phys. Rev. Lett., 97(6):067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1515/CMAM-2014-0018
An arbitrary-order and compact-stencil discretization of diffusion on general meshes based on local reconstruction operators

Abstract:

We develop an arbitrary-order primal method for diffusion problems on general polyhedral meshes. The degrees of freedom are scalar-valued polynomials of the same order at mesh elements and faces. The cornerstone of the method is a local (element-wise) discrete gradient reconstruction operator. The design of the method additio... We develop an arbitrary-order primal method for diffusion problems on general polyhedral meshes. The degrees of freedom are scalar-valued polynomials of the same order at mesh elements and faces. The cornerstone of the method is a local (element-wise) discrete gradient reconstruction operator. The design of the method additionally hinges on a least-squares penalty term on faces weakly enforcing the matching between local element- and face-based degrees of freedom. The scheme is proved to optimally converge in the energy norm and in the L2-norm of the potential for smooth solutions. In the lowest-order case, equivalence with the Hybrid Finite Volume method is shown. The theoretical results are confirmed by numerical experiments up to order 4 on several polygonal meshes. read more read less

Topics:

Volume mesh (64%)64% related to the paper, Compact stencil (57%)57% related to the paper, Finite volume method (55%)55% related to the paper, Polygon mesh (54%)54% related to the paper, Discretization (54%)54% related to the paper
View PDF
241 Citations
Journal Article DOI: 10.1515/CMAM-2017-0008
Some Estimates for Virtual Element Methods
Susanne C. Brenner1, Qingguang Guan1, Li-Yeng Sung1

Abstract:

Abstract We present novel techniques for obtaining the basic estimates of virtual element methods in terms of the shape regularity of polygonal/polyhedral meshes. We also derive new error estimates for the Poisson problem in two and three dimensions. Abstract We present novel techniques for obtaining the basic estimates of virtual element methods in terms of the shape regularity of polygonal/polyhedral meshes. We also derive new error estimates for the Poisson problem in two and three dimensions. read more read less
146 Citations
open accessOpen access Journal Article DOI: 10.1515/CMAM-2015-0026
Space-Time Finite Element Methods for Parabolic Problems

Abstract:

Abstract We propose and analyze a space-time finite element method for the numerical solution of parabolic evolution equations. This approach allows the use of general and unstructured space-time finite elements which do not require any tensor product structure. The stability of the numerical scheme is based on a stability co... Abstract We propose and analyze a space-time finite element method for the numerical solution of parabolic evolution equations. This approach allows the use of general and unstructured space-time finite elements which do not require any tensor product structure. The stability of the numerical scheme is based on a stability condition which holds for standard finite element spaces. We also provide related a priori error estimates which are confirmed by numerical experiments. read more read less

Topics:

Mixed finite element method (83%)83% related to the paper, Extended finite element method (80%)80% related to the paper, Smoothed finite element method (79%)79% related to the paper, Discontinuous Galerkin method (76%)76% related to the paper, Finite element method (68%)68% related to the paper
View PDF
112 Citations
open accessOpen access Journal Article DOI: 10.2478/CMAM-2012-0027
Analysis of a two-level Schwarz method with coarse spaces based on local Dirichlet-to-Neumann maps

Abstract:

Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. For smooth problems, the theory and practice of such two-level methods is well established, but this is not the case for problems with complicated variation and high contrasts in the coefficients. Stable coarse spaces for high c... Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. For smooth problems, the theory and practice of such two-level methods is well established, but this is not the case for problems with complicated variation and high contrasts in the coefficients. Stable coarse spaces for high contrast problems are also important purely for approximation purposes, when it is not desirable to resolve all the fine scale variations in the problem. In a previous study, two of the authors introduced a coarse space adapted to highly heterogeneous coefficients using the low frequency modes of the subdomain DtN maps. In this work, we present a rigorous analysis of a two-level overlapping additive Schwarz method (ASM) with this coarse space, which provides an automatic criterion for the number of modes that need to be added per subdomain to obtain a convergence rate of the order of the constant coefficient case. Our method is suitable for parallel implementation and its efficiency is demonstrated by numerical examples on some challenging problems with high heterogeneities for automatic partitionings. read more read less

Topics:

Domain decomposition methods (63%)63% related to the paper, Schwarz alternating method (60%)60% related to the paper, Additive Schwarz method (60%)60% related to the paper, Rate of convergence (52%)52% related to the paper, Constant coefficients (50%)50% related to the paper
View PDF
108 Citations
Journal Article DOI: 10.2478/CMAM-2011-0026
Efficient implementation of adaptive P1-FEM in Matlab

Abstract:

We provide a Matlab implementation of an adaptive P1-finite element method (AFEM). This includes functions for the assembly of the data, different error estimators, and an indicator-based adaptive mesh-refining algorithm. Throughout, the focus is on an efficient realization by use of Matlab built-in functions and vectorizatio... We provide a Matlab implementation of an adaptive P1-finite element method (AFEM). This includes functions for the assembly of the data, different error estimators, and an indicator-based adaptive mesh-refining algorithm. Throughout, the focus is on an efficient realization by use of Matlab built-in functions and vectorization. Numerical experiments underline the efficiency of the code which is observed to be of almost linear complexity with respect to the runtime. read more read less

Topics:

Vectorization (mathematics) (54%)54% related to the paper, MATLAB (54%)54% related to the paper
View PDF
108 Citations
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12. Is Computational Methods in Applied Mathematics'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 Computational Methods in Applied Mathematics?

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 Computational Methods in Applied Mathematics. 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 Computational Methods in Applied Mathematics?

The 5 most common citation types in order of usage for Computational Methods in Applied Mathematics are:.

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

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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 Computational Methods in Applied Mathematics Endnote style according to Elsevier guidelines.

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