Foundations of Computational Mathematics - Impact Factor

About: Foundations of Computational Mathematics (FoCM) is a peer-reviewed academic journal that focuses on the mathematical foundations of computational mathematics. It aims to advance the theoretical understanding and development of computational methods, algorithms, and applications across various scientific and engineering disciplines.
Mathematical Foundations: Publishes articles that contribute to the theoretical aspects of numerical analysis, computational algebra, optimization, and related fields.
Computational Methods: Covers innovative computational methodologies and algorithms with rigorous mathematical underpinnings.
Interdisciplinary Research: Encourages interdisciplinary research that integrates computational mathematics with other areas such as physics, biology, finance, and engineering.
Applications: Includes applications of computational mathematics in solving real-world problems, including simulations, modeling, and data analysis.
Publication Types:
FoCM publishes a variety of scholarly articles, including:
Research Articles: Original research contributions presenting new theoretical insights, algorithms, or methodologies.
Survey Papers: Comprehensive reviews of current research trends and developments in specific areas of computational mathematics.
Technical Notes: Short articles addressing technical aspects, extensions of previous work, or novel applications.
Special Issues: Occasional special issues focusing on emerging topics or significant conferences.

Scope: The Foundations of Computational Mathematics Journal publishes high-quality research articles that explore foundational aspects of computational mathematics and their applications. It serves as a platform for advancing theoretical understanding and practical methodologies at the intersection of mathematics, computer science, and computational science.
Key topics covered in the journal include, but are not limited to:
Analysis and design of numerical algorithms
Mathematical analysis of algorithms and complexity
Computational complexity theory
Numerical linear algebra and matrix computations
Computational geometry
Approximation theory and computational approximation
Optimization theory and algorithms
Stochastic methods and Monte Carlo simulations
High-performance computing and parallel algorithms
Applications of computational mathematics in scientific and engineering disciplines.