Scientific computing research involves the development of fast, reliable numerical algorithms that are needed to solve difficult mathematical problems in a wide variety of applications. Specific research interests of the Scientific Computing group at Emory include:

• Numerical Linear Algebra
• Sparse and Structured Matrix Algorithms
• Iterative Methods and Preconditioning Techniques
• Numerical Optimization
• Numerical Partial Differential Equations
• Numerical Methods for Inverse Problems
• Applications:
• Image Processing (restoration, registration and super-resolution)
• Geophysics
• Computational Fluid Dynamics
• Numerical Methods for Markov Chains
• Parallel, Distributed Computing
• History of Numerical Analysis