Applied and Computational Mathematics

Scope & Guideline

Exploring New Dimensions in Mathematics for Real-World Applications

Introduction

Immerse yourself in the scholarly insights of Applied and Computational Mathematics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
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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