Mathematical Frontiers: From Abstract Structures to Real-World Solutions

Advancing Knowledge Through Matrix Science and Mathematical Innovation

CODEN: MSMADH
ISSN: 2521-0831 (Print)
ISSN: 2521-084X (Online)
Creative Commons Attribution CC BY 4.0

Matrix Science Mathematic (MSMK)

This is an open access journal distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Matrix science and mathematics form a vital area of study that underpins many branches of modern science, engineering, and technology. At its core, matrix mathematics deals with the study of rectangular arrays of numbers, symbols, or expressions, which can represent and solve complex systems of equations in a structured way. This discipline provides powerful tools for analyzing linear transformations, vector spaces, and multidimensional data, making it essential for fields such as physics, computer science, statistics, and economics. In computer science and information technology, matrix operations play a key role in graphics, cryptography, artificial intelligence, and machine learning algorithms. In engineering and applied sciences, they are used to model networks, structural systems, and control processes. By combining theoretical rigor with practical applications, matrix science and mathematics serve as a bridge between abstract concepts and real-world problem-solving, making them indispensable in advancing innovation and technology

Frequency: Bi-annual

Aims & Scope

The Matrix Science and Mathematics is dedicated to publishing high-quality research and scholarly works that advance theoretical and applied aspects of matrix theory, linear algebra, and related mathematical sciences. The journal aims to serve as a platform for mathematicians, scientists, and researchers to exchange ideas, present original findings, and explore innovative applications of matrix-based methods across diverse disciplines.
Scope of the Journal
  1. Matrix theory, linear algebra, and functional analysis
  2. Computational methods for matrix problems and numerical analysis
  3. Eigenvalues, eigenvectors, and spectral theory
  4. Applications of matrices in physics, engineering, and computer science
  5. Matrix methods in cryptography, signal processing, and image analysis
  6. Optimization techniques and operations research
  7. Machine learning, artificial intelligence, and big data applications of matrices
  8. Mathematical modeling and simulations using matrix approaches
  9. Interdisciplinary studies connecting matrix science with economics, biology, and social sciences
The journal welcomes original research articles, review papers, case studies, and short communications that highlight both fundamental developments and practical applications. Its mission is to promote the integration of mathematical theory with real-world problem-solving, fostering innovation and collaboration across disciplines.

Peer Review Policy
All peer review is single blind and submission is online via Editorial Manager.

Article publishing charge
There is no APC for this journal. All accepted papers shall publish FOC.

Submission charges
There are no submission charges for this journal.

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