Aims and Scope
Computational Methods (ISSN: 3048-7447) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research on computational theories, numerical algorithms, mathematical modelling, data-driven methods, and their applications across science, engineering, medicine, and industry. The journal provides a multidisciplinary platform for researchers, scientists, engineers, and practitioners to disseminate innovative computational techniques that address complex real-world problems and advance scientific and technological development.
The journal welcomes original research articles, review articles, short communications, methodological papers, and application-oriented studies that present significant theoretical advances, algorithmic developments, computational frameworks, or practical implementations. Emphasis is placed on originality, scientific rigor, reproducibility, and the development of efficient computational approaches with broad interdisciplinary impact.
Scope
Computational Mathematics - Numerical methods, scientific computing, computational algorithms, finite element methods, finite difference methods, finite volume methods, spectral methods, numerical linear algebra, approximation techniques, error analysis, stability and convergence analysis.
Mathematical Modelling and Simulation - Mathematical modelling, computational modelling, physical systems, biological systems, engineering applications, environmental modelling, industrial processes, simulation techniques, predictive modelling, digital twin modelling.
Differential Equations and Computational Analysis - Ordinary differential equations, partial differential equations, fractional differential equations, boundary value problems, initial value problems, nonlinear differential equations, dynamical systems, numerical solutions of differential equations.
Numerical Analysis and Scientific Computing - Numerical linear algebra, interpolation, approximation theory, iterative methods, eigenvalue problems, computational accuracy, numerical stability, parallel numerical algorithms, large-scale scientific computation.
Optimization and Computational Intelligence - Linear optimization, nonlinear optimization, convex optimization, multi-objective optimization, optimal control, evolutionary algorithms, swarm intelligence, heuristic methods, metaheuristic algorithms, decision optimization.
Probability, Statistics and Stochastic Computing - Probability theory, stochastic processes, statistical computing, statistical inference, Bayesian analysis, time series analysis, uncertainty quantification, stochastic modelling, Monte Carlo methods.
Data Science and Artificial Intelligence - Machine learning, deep learning, mathematical foundations of artificial intelligence, data analytics, pattern recognition, intelligent systems, computational learning, predictive analytics, data-driven modelling.
Computational Engineering - Computational mechanics, structural analysis, computational fluid dynamics, engineering simulation, control systems, systems engineering, electrical engineering applications, industrial computation, engineering optimization.
Computational Physics and Mathematical Physics - Fluid dynamics, wave propagation, quantum computing methods, electromagnetics, continuum mechanics, plasma physics, computational mechanics, physical simulations.
Computational Biology and Bioinformatics - Biological modelling, genomic computing, computational genomics, protein modelling, systems biology, biomedical computation, biological data analysis, molecular simulation.
Computational Medicine and Healthcare - Medical imaging, biomedical modelling, healthcare analytics, computational epidemiology, disease modelling, clinical decision systems, artificial intelligence in medicine.
Image Processing and Computer Vision - Digital image processing, computer vision, image analysis, image reconstruction, pattern recognition, object detection, medical image computing, remote sensing applications.
Signal Processing and Information Computing - Digital signal processing, speech processing, sensor data analysis, communication systems, signal reconstruction, information processing, computational techniques for signal analysis.
High Performance and Distributed Computing - Parallel computing, distributed systems, cloud computing, GPU computing, high-performance algorithms, scalable computation, computational infrastructure.
Cybersecurity and Emerging Computing Technologies - Cryptography, cybersecurity algorithms, blockchain technologies, secure computing, Internet of Things, edge computing, quantum computing, intelligent systems, emerging computational technologies.