Transactions on Applied Computational Mathematics (TACM) is a peer-reviewed journal dedicated to advancing the intersection of rigorous mathematical theory, innovative computational methodologies, and practical real-world applications. The journal publishes high-quality research that bridges the gap between abstract mathematical frameworks and their computational implementation, with an emphasis on solving complex scientific, engineering, and industrial challenges.  

• The scope encompasses, but is not limited to:  
  - Numerical algorithms for differential equations, optimization, linear algebra, and stochastic systems.  
  - High-performance computing techniques, including parallel, distributed, and GPU-accelerated methods.  
  - Data-driven modeling, machine learning, and uncertainty quantification in computational mathematics.  
  - Multiscale and multiphysics simulations, inverse problems, and computational fluid dynamics.  
  - Algorithmic analysis, including convergence, stability, and error estimation for discrete and continuous models.  
  - Interdisciplinary applications in physics, biology, finance, climate science, robotics, and beyond.  

The journal prioritizes transformative research that demonstrates methodological rigor, computational efficiency, and practical relevance. Contributions may include original research articles, reviews, and case studies that highlight reproducibility, scalability, and open-source implementations. TACM serves as a platform for researchers, practitioners, and industry professionals to share cutting-edge advances that redefine the boundaries of computational problem-solving.