Applied and Computational Mathematics

Scope & Guideline

Transforming Ideas into Solutions: The Heart of Applied Mathematics

Introduction

Welcome to the Applied and 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 Applied and 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
ISSN1683-3511
PublisherMINISTRY COMMUNICATIONS & HIGH TECHNOLOGIES REPUBLIC AZERBAIJAN
Support Open AccessNo
CountryAzerbaijan
TypeJournal
Convergefrom 2008 to 2024
AbbreviationAPPL COMPUT MATH-BAK / Appl. Comput. Math.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressBAKU STATE UNIV, INST APPLIED MATHEMATICS, Z KHALILOV STR 23, BAKU AZ 1148, AZERBAIJAN

Aims and Scopes

The journal 'Applied and Computational Mathematics' focuses on the intersection of mathematical theory, computational methods, and practical applications. It aims to provide a platform for the dissemination of innovative research that applies mathematical techniques to solve real-world problems across various fields.
  1. Optimization Techniques:
    The journal extensively covers optimization methods including linear, nonlinear, and dynamic optimization, emphasizing algorithms that solve complex mathematical problems in various contexts.
  2. Control Theory and Systems:
    There is a strong emphasis on control theory, particularly in the design of controllers for systems with delays, stochastic control, and game theory applications.
  3. Stochastic Processes and Modeling:
    Research related to stochastic models, including Markov decision processes and games, is a consistent focus, reflecting the journal's commitment to addressing uncertainty in mathematical modeling.
  4. Numerical Analysis and Computational Methods:
    The journal publishes studies on numerical techniques and algorithms for solving differential equations, optimization problems, and other mathematical models, highlighting advancements in computational mathematics.
  5. Mathematical Modeling in Applied Sciences:
    The journal features research that develops mathematical models to describe phenomena in various fields such as physics, engineering, biology, and economics, showcasing the practical application of mathematical theories.
  6. Interdisciplinary Applications:
    There is a notable integration of mathematics with fields such as artificial intelligence, healthcare, and environmental science, reflecting the journal's aim to bridge theoretical mathematics with real-world applications.
Recent publications in 'Applied and Computational Mathematics' illustrate a dynamic evolution in research themes, with several emerging trends gaining traction. These trends indicate a response to contemporary challenges and advancements in technology.
  1. Artificial Intelligence and Machine Learning:
    There is a growing trend towards the application of AI and machine learning techniques in mathematical modeling and problem-solving, particularly in fields like healthcare and environmental science.
  2. Fractional Calculus and Nonlinear Dynamics:
    Research on fractional calculus and its applications in modeling complex systems has gained momentum, reflecting an increased interest in advanced mathematical methods for dynamic systems.
  3. Epidemiological Modeling:
    The COVID-19 pandemic has sparked a surge in publications focusing on mathematical modeling of infectious diseases, highlighting the relevance of mathematics in public health and epidemiology.
  4. Game Theory and Decision Processes:
    Emerging themes in game theory, particularly in the context of decision-making under uncertainty and team optimization, indicate a growing interest in strategic interactions and their mathematical formulations.
  5. Numerical Solutions for Complex Systems:
    There is an increasing focus on developing numerical methods for solving complex systems of equations, including those arising in fluid dynamics and engineering, showcasing advancements in computational techniques.

Declining or Waning

While the journal maintains a robust focus on various mathematical applications, certain themes have shown a decline in prominence over recent years, suggesting a shift in research priorities.
  1. Traditional Theoretical Mathematics:
    There appears to be a decreasing emphasis on purely theoretical mathematics, with fewer publications focused solely on abstract mathematical concepts without practical applications.
  2. Static Mathematical Models:
    Research involving static or non-dynamic models has become less frequent, indicating a shift towards dynamic and adaptive models that account for changing conditions in real-world applications.
  3. Basic Statistical Methods:
    Publications focusing on fundamental statistical techniques, as opposed to advanced or applied statistical modeling, have declined, reflecting a trend towards more complex statistical applications.

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