Example of Applied Numerical Mathematics format
SciSpace - Your AI assistant to discover and understand research papers | Product Hunt
Recent searches

Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format Example of Applied Numerical Mathematics format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Applied Numerical Mathematics — Template for authors

Publisher: Elsevier
Categories Rank Trend in last 3 yrs
Applied Mathematics #128 of 548 up up by 35 ranks
Numerical Analysis #17 of 66 down down by 1 rank
Computational Mathematics #40 of 152 up up by 19 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 835 Published Papers | 2855 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/06/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 6.1
SJR: 1.882
SNIP: 1.743
open access Open Access

Wiley

Quality:  
High
CiteRatio: 3.9
SJR: 0.901
SNIP: 1.212
open access Open Access

De Gruyter

Quality:  
Good
CiteRatio: 2.7
SJR: 1.095
SNIP: 1.193
open access Open Access

Taylor and Francis

Quality:  
Medium
CiteRatio: 1.4
SJR: 0.457
SNIP: 0.995

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.

3.4

21% from 2019

CiteRatio for Applied Numerical Mathematics from 2016 - 2020
Year Value
2020 3.4
2019 2.8
2018 2.5
2017 2.2
2016 2.4
graph view Graph view
table view Table view

0.898

12% from 2019

SJR for Applied Numerical Mathematics from 2016 - 2020
Year Value
2020 0.898
2019 1.017
2018 0.743
2017 0.93
2016 0.968
graph view Graph view
table view Table view

1.306

4% from 2019

SNIP for Applied Numerical Mathematics from 2016 - 2020
Year Value
2020 1.306
2019 1.363
2018 1.167
2017 1.177
2016 1.024
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 21% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 12% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 4% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Applied Numerical Mathematics

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

Elsevier

Applied Numerical Mathematics

The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant appli...... Read More

Mathematics

i
Last updated on
13 Jun 2020
i
ISSN
0168-9274
i
Impact Factor
High - 1.023
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
elsarticle-num
i
Citation Type
Numbered
[25]
i
Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1016/S0168-9274(97)00056-1
Implicit-explicit Runge-Kutta methods for time-dependent partial differential equations
Uri M. Ascher1, Steven J. Ruuth2, Raymond J. Spiteri1

Abstract:

Implicit-explicit (IMEX) linear multistep time-discretization schemes for partial differential equations have proved useful in many applications. However, they tend to have undesirable time-step restrictions when applied to convection-diffusion problems, unless diffusion strongly dominates and an appropriate BDF-based scheme ... Implicit-explicit (IMEX) linear multistep time-discretization schemes for partial differential equations have proved useful in many applications. However, they tend to have undesirable time-step restrictions when applied to convection-diffusion problems, unless diffusion strongly dominates and an appropriate BDF-based scheme is selected (Ascher et al., 1995). In this paper, we develop Runge-Kutta-based IMEX schemes that have better stability regions than the best known IMEX multistep schemes over a wide parameter range. read more read less

Topics:

Runge–Kutta methods (57%)57% related to the paper, Partial differential equation (51%)51% related to the paper
1,020 Citations
Journal Article DOI: 10.1016/J.APNUM.2005.03.003
A fully discrete difference scheme for a diffusion-wave system
Zhi-zhong Sun1, Xiaonan Wu2

Abstract:

A fully discrete difference scheme is derived for a diffusion-wave system by introducing two new variables to transform the original equation into a low order system of equations. The solvability, stability and L∞ convergence are proved by the energy method. Similar results are provided for a slow diffusion system. A numerica... A fully discrete difference scheme is derived for a diffusion-wave system by introducing two new variables to transform the original equation into a low order system of equations. The solvability, stability and L∞ convergence are proved by the energy method. Similar results are provided for a slow diffusion system. A numerical example demonstrates the theoretical results. read more read less

Topics:

Diffusion (business) (50%)50% related to the paper
770 Citations
Journal Article DOI: 10.1016/S0168-9274(01)00115-5
BoomerAMG: a parallel algebraic multigrid solver and preconditioner
Van Emden Henson1, Ulrike Meier Yang1

Abstract:

Driven by the need to solve linear systems arising from problems posed on extremely large, unstructured grids, there has been a recent resurgence of interest in algebraic multigrid (AMG). AMG is attractive in that it holds out the possibility of multigrid-like performance on unstructured grids. The sheer size of many modern p... Driven by the need to solve linear systems arising from problems posed on extremely large, unstructured grids, there has been a recent resurgence of interest in algebraic multigrid (AMG). AMG is attractive in that it holds out the possibility of multigrid-like performance on unstructured grids. The sheer size of many modern physics and simulation problems has led to the development of massively parallel computers, and has sparked much research into developing algorithms for them. Parallelizing AMG is a difficult task, however. While much of the AMG method parallelizes readily, the process of coarse-grid selection, in particular, is fundamentally sequential in nature.We have previously introduced a parallel algorithm [A.J. Cleary, R.D. Falgout, V.E. Henson, J.E. Jones, in: Proceedings of the Fifth International Symposium on Solving Irregularly Structured Problems in Parallel, Springer, New York, 1998] for the selection of coarse-grid points, based on modifications of certain parallel independent set algorithms and the application of heuristics designed to insure the quality of the coarse grids, and shown results from a prototype serial version of the algorithm.In this paper we describe an implementation of a parallel AMG code, using the algorithm of A.J. Cleary, R.D. Falgout, V.E. Henson, J.E. Jones [in: Proceedings of the Fifth International Symposium on Solving Irregularly Structured Problems in Parallel, Springer, New York, 1998] as well as other approaches to parallelizing the coarse-grid selection. We consider three basic coarsening schemes and certain modifications to the basic schemes, designed to address specific performance issues. We present numerical results for a broad range of problem sizes and descriptions, and draw conclusions regarding the efficacy of the method. Finally, we indicate the current directions of the research. read more read less

Topics:

Parallel algorithm (55%)55% related to the paper, Massively parallel (54%)54% related to the paper, Multigrid method (52%)52% related to the paper, Solver (51%)51% related to the paper
764 Citations
Journal Article DOI: 10.1016/J.APNUM.2005.02.008
Finite difference approximations for two-sided space-fractional partial differential equations
Mark M. Meerschaert1, Charles Tadjeran2

Abstract:

Fractional order partial differential equations are generalizations of classical partial differential equations. Increasingly, these models are used in applications such as fluid flow, finance and others. In this paper we examine some practical numerical methods to solve a class of initial-boundary value fractional partial di... Fractional order partial differential equations are generalizations of classical partial differential equations. Increasingly, these models are used in applications such as fluid flow, finance and others. In this paper we examine some practical numerical methods to solve a class of initial-boundary value fractional partial differential equations with variable coefficients on a finite domain. We examine the case when a left-handed or a right-handed fractional spatial derivative may be present in the partial differential equation. Stability, consistency, and (therefore) convergence of the methods are discussed. The stability (and convergence) results in the fractional PDE unify the corresponding results for the classical parabolic and hyperbolic cases into a single condition. A numerical example using a finite difference method for a two-sided fractional PDE is also presented and compared with the exact analytical solution. read more read less

Topics:

Numerical partial differential equations (70%)70% related to the paper, First-order partial differential equation (69%)69% related to the paper, Stochastic partial differential equation (68%)68% related to the paper, Elliptic partial differential equation (68%)68% related to the paper, Exponential integrator (67%)67% related to the paper
761 Citations
open accessOpen access Journal Article DOI: 10.1016/S0168-9274(02)00138-1
Additive Runge-Kutta Schemes for Convection-Diffusion-Reaction Equations
Christopher A. Kennedy1, Mark H. Carpenter2

Abstract:

Additive Runge-Kutta (ARK) methods are investigated for application to the spatially discretized one-dimensional convection-diffusion-reaction (CDR) equations. Accuracy, stability, conservation, and dense-output are first considered for the general case when N different Runge-Kutta methods are grouped into a single composite ... Additive Runge-Kutta (ARK) methods are investigated for application to the spatially discretized one-dimensional convection-diffusion-reaction (CDR) equations. Accuracy, stability, conservation, and dense-output are first considered for the general case when N different Runge-Kutta methods are grouped into a single composite method. Then, implicit-explicit, (N = 2), additive Runge-Kutta (ARK2) methods from third- to fifth-order are presented that allow for integration of stiff terms by an L-stable, stiffly-accurate explicit, singly diagonally implicit Runge-Kutta (ESDIRK) method while the nonstiff terms are integrated with a traditional explicit Runge-Kutta method (ERK). Coupling error terms of the partitioned method are of equal order to those of the elemental methods. Derived ARK2 methods have vanishing stability functions for very large values of the stiff scaled eigenvalue, z[I] → -∞, and retain high stability efficiency in the absence of stiffness, z[I] → 0. Extrapolation-type stage-value predictors are provided based on dense-output formulae. Optimized methods minimize both leading order ARK2 error terms and Butcher coefficient magnitudes as well as maximize conservation properties. Numerical tests of the new schemes on a CDR problem show negligible stiffness leakage and near classical order convergence rates. However, tests on three simple singular-perturbation problems reveal generally predictable order reduction. Error control is best managed with a PID-controller. While results for the fifth-order method are disappointing, both the new third- and fourth-order methods are at least as efficient as existing ARK2 methods. read more read less

Topics:

Runge–Kutta methods (62%)62% related to the paper, Numerical stability (56%)56% related to the paper, Numerical analysis (52%)52% related to the paper, Rate of convergence (52%)52% related to the paper, Direct method (51%)51% related to the paper
View PDF
626 Citations
Author Pic

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.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for Applied Numerical Mathematics.

It automatically formats your research paper to Elsevier formatting guidelines and citation style.

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

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

Applied Numerical Mathematics format uses elsarticle-num 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 Applied Numerical Mathematics in LaTeX?

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

2. Do you follow the Applied Numerical Mathematics guidelines?

Yes, the template is compliant with the Applied Numerical Mathematics 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 Applied Numerical Mathematics?

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 Applied Numerical Mathematics citation style.

4. Can I use the Applied Numerical Mathematics 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 Applied Numerical Mathematics.

5. Can I use a manuscript in Applied Numerical Mathematics 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 Applied Numerical Mathematics that you can download at the end.

6. How long does it usually take you to format my papers in Applied Numerical Mathematics?

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

7. Where can I find the template for the Applied Numerical Mathematics?

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 Applied Numerical Mathematics'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 Applied Numerical Mathematics'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. Applied Numerical Mathematics an online tool or is there a desktop version?

SciSpace's Applied Numerical Mathematics 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 Applied Numerical Mathematics?

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 Applied Numerical Mathematics?”

11. What is the output that I would get after using Applied Numerical Mathematics?

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

12. Is Applied Numerical 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 Applied Numerical 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 Applied Numerical 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 Applied Numerical Mathematics?

The 5 most common citation types in order of usage for Applied Numerical Mathematics 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 Applied Numerical Mathematics?

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 Applied Numerical Mathematics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Applied Numerical Mathematics 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 Applied Numerical Mathematics Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to Applied Numerical Mathematics formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

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
Use this template