Numerische Mathematik is a distinguished journal dedicated to the advancement of numerical analysis and scientific computing. It publishes original research articles focusing on the development, analysis, and implementation of efficient and reliable numerical algorithms. The journal covers a wide range of topics, including approximation theory, optimization, numerical linear algebra, and the numerical solution of ordinary and partial differential equations.
Key areas of focus encompass mathematical modeling, algorithm design, convergence analysis, and error estimation. The journal aims to promote both theoretical insights and practical applications, catering to researchers, scientists, and engineers. It publishes research that addresses the challenges of solving complex mathematical problems arising in diverse fields such as physics, engineering, and finance. Numerische Mathematik is indexed in databases such as Scopus and Zentralblatt MATH.
Numerische Mathematik is an essential resource for researchers and practitioners. It provides a platform for disseminating new algorithms and techniques that contribute to the advancement of scientific knowledge and technological innovation. Researchers are encouraged to contribute to this esteemed journal, shaping the future of numerical mathematics.