Applied Math & Scientific Computing
Applied Numerical Algorithms
The mission of the Applied Numerical Algorithms Group (ANAG) is the development of advanced numerical algorithms and software for partial differential equations integrated with the application of the software to problems of independent scientific and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive finite difference methods for partial differential… Read More »
Scientific Computing
The Scientific Computing Group (SCG) works on diverse scientific applications in a wide variety of fields including Astrophysics, Atmospheric and ocean modeling, Material sciences, Nanosciences, and Data mining and data-intensive computing. We also tackle generic problems in scientific computing, including Numerical linear algebra, such as dense and sparse linear/eigen system solvers; Mathematical libraries and templates; and Parallel programming environments and software tools. SCG's… Read More »
Complex Systems Group
Mathematical research is playing an increasing important role in the analysis and optimization of complex systems, including application areas relevant to the DOE mission, such as networked interconnected systems like computer networks and electrical power grids. Berkeley Lab’s Computational Research Division has significant research activities in this area, and several projects in CRD develop the algorithms, tools and techniques to meet the analysis challenges posed by complex systems. To… Read More »
