International Journal of Advances in Applied Mathematics and Mechanics

Aims & Scope

IJAAMM aims to publish high-quality, peer-reviewed research in the fields of Applied Mathematics and Mechanics , emphasizing both theoretical advancements and practical applications that address real-world problems in science, engineering, and interdisciplinary domains. The journal welcomes original research articles, review papers, short communications, and research monographs / extended research articles in, but not limited to, the following areas: Applied Mathematics Differential Equations (ODEs & PDEs) Numerical Analysis & Scientific Computing Optimization Techniques & Operations Research Linear Algebra & Matrix Theory Probability Theory, Statistics & Stochastic Processes Graph Theory & Discrete Mathematics Mathematical Modeling & Simulation Computational Mathematics Mathematical Biology & Bioinformatics Financial Mathematics & Actuarial Science Data Science, Machine Learning & Mathematical AI Fractional Calculus & Applications Control Theory & Dynamical Systems Approximation Theory & Functional Analysis Mechanics Classical Mechanics & Quantum Mechanics Engineering Mechanics (Statics, Dynamics, Kinematics) Fluid Mechanics & Continuum Mechanics Solid Mechanics & Structural Analysis Celestial Mechanics & Astrodynamics Statistical Mechanics & Relativistic Mechanics Computational Mechanics Multiphysics Modeling Nano-Mechanics & Micro-Mechanics Biomechanics Material Modeling & Elasticity/Plasticity Nonlinear Mechanics & Chaos Theory Research Monographs The journal also considers extended-length manuscripts (typically exceeding standard article length) that present comprehensive and in-depth studies of significant research problems. Such submissions undergo the same rigorous peer-review process and may be published as special or supplementary articles. The scope of the journal is not limited to the above topics, and interdisciplinary research bridging mathematics, mechanics, and emerging scientific fields is strongly encouraged.

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Subject Classification