JOURNAL OF COMPUTATIONAL MATHEMATICS

Scope & Guideline

Bridging Theory and Application in Mathematics

Introduction

Welcome to the JOURNAL OF COMPUTATIONAL MATHEMATICS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of JOURNAL OF COMPUTATIONAL MATHEMATICS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0254-9409
PublisherGLOBAL SCIENCE PRESS
Support Open AccessNo
CountryChina
TypeJournal
Convergefrom 1996 to 2017, from 2019 to 2024
AbbreviationJ COMPUT MATH / J. Comput. Math.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressOffice B, 9/F, Kings Wing Plaza2, No.1 On Kwan St, Shek Mun, NT , Hong Kong 00000, PEOPLES R CHINA

Aims and Scopes

The JOURNAL OF COMPUTATIONAL MATHEMATICS focuses on advancing the field of computational mathematics through innovative numerical methods, algorithms, and their applications across various domains. The journal aims to provide a platform for researchers to disseminate their findings in theoretical and applied computational mathematics.
  1. Numerical Methods Development:
    The journal emphasizes the development of new numerical methods for solving differential equations, integral equations, and optimization problems, showcasing advancements in accuracy and efficiency.
  2. Application of Computational Techniques:
    Research articles often illustrate the application of computational techniques in diverse fields such as physics, engineering, finance, and biology, highlighting the interdisciplinary nature of computational mathematics.
  3. Error Analysis and Stability:
    A consistent focus on error analysis and stability of numerical methods ensures that the methods proposed are reliable and robust for practical applications.
  4. Innovative Algorithms:
    The journal features innovative algorithmic approaches, including but not limited to finite element methods, spectral methods, and machine learning techniques for solving complex mathematical problems.
  5. Interdisciplinary Applications:
    Research spans a variety of applications, from fluid dynamics and material sciences to financial modeling and epidemiology, reflecting the broad applicability of computational mathematics.
Recent trends in the JOURNAL OF COMPUTATIONAL MATHEMATICS reveal a shift towards more complex and interdisciplinary approaches in computational methods. This section outlines emerging themes that are gaining traction in the journal's publications.
  1. Machine Learning and AI in Computation:
    There is a notable increase in the application of machine learning and artificial intelligence techniques for solving mathematical problems, indicating a trend towards integrating data-driven approaches with traditional computational methods.
  2. Fractional Calculus and Differential Equations:
    The rising interest in fractional calculus and its applications in modeling complex systems reflects a growing recognition of the need for advanced mathematical tools to address real-world phenomena.
  3. Stochastic and Uncertainty Quantification:
    Research that incorporates stochastic processes and uncertainty quantification is on the rise, highlighting the importance of robust modeling techniques in various fields, including finance and environmental science.
  4. Adaptive and High-Order Methods:
    Adaptive and high-order numerical methods are increasingly featured, showcasing a shift towards enhancing accuracy and efficiency in computational solutions for complex problems.
  5. Interdisciplinary Applications:
    Emerging themes often reflect interdisciplinary applications, particularly in areas like epidemiology, climate modeling, and materials science, demonstrating the journal's commitment to addressing contemporary challenges through computational mathematics.

Declining or Waning

As the field of computational mathematics evolves, certain areas of focus within the JOURNAL OF COMPUTATIONAL MATHEMATICS have shown signs of declining prominence. This section highlights themes that appear less frequently in recent publications.
  1. Traditional Finite Element Methods:
    While still relevant, traditional finite element methods are being overshadowed by more advanced and hybrid approaches that combine various techniques, indicating a shift in preference towards more innovative methods.
  2. Basic Numerical Analysis:
    Fundamental numerical analysis papers that do not introduce novel methodologies or applications have become less common, as the journal increasingly favors contributions that demonstrate practical applicability and innovation.
  3. Static Models and Solutions:
    Research focusing on static models without dynamic considerations has seen a decrease, suggesting a growing trend towards more complex, time-dependent, and dynamic systems in computational studies.

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