About the Journal

The International Journal of Mathematical Modelling and Computation (IJMMC) is a peer-reviewed, double-blind refereed, and open-access scholarly journal in the field of Mathematical Sciences. It is published quarterly by Mathlogix Publications, providing a dedicated platform for researchers, academicians, and industry professionals to publish high-quality original research, review articles, and applied innovations in mathematical modelling, simulations, and computational techniques.

The journal accepts submissions in English and upholds strong academic integrity and ethical publishing standards. IJMMC is accessible through its official portal at https://mathlogixpub.com/journals/index.php, and all editorial correspondence may be directed to [your-email]@gmail.com.

Scope of the Journal

IJMMC invites scholarly contributions in, but not limited to, the following areas:

  • Mathematical Modelling of Physical, Biological, and Engineering Systems

  • Numerical Analysis and Computational Techniques

  • Simulation and Optimization Methods

  • Applied Linear and Nonlinear Dynamics

  • Fluid Dynamics and Heat Transfer Modelling

  • Operations Research and Decision Sciences

  • Stochastic Modelling and Probabilistic Methods

  • Mathematical Modelling in Environmental and Health Sciences

  • Finite Element and Boundary Element Methods

  • Artificial Intelligence and Machine Learning Models in Mathematics

  • Mathematical Aspects of Control Theory and Signal Processing

  • Mathematical Software Development and Applications

Key Features

  • Quarterly Publication

  • Double-Blind Peer Review

  • Open Access

  • Crossref DOI Assignment

  • Global Reviewer and Editorial Panel

  • Ethics Compliance (COPE Standards)

Vision

IJMMC aspires to bridge the gap between theoretical mathematics and real-world computational solutions. The journal’s vision is to promote forward-thinking, impactful research that contributes to the development of accurate, efficient, and innovative mathematical models and computational tools to address complex challenges across science, engineering, and industry.