Clayton G. Webster, Ph.D.

Senior Mathematician & Professor

Editorial responsibilities

I serve on the editorial board of a few journals. Please feel free to contact me directly if you wish to submit manuscripts to any of these journals or have general questions about scope of the journals.

SIAM Journal on Numerical Analysis (SINUM)

SIAM Publishing, USA


The SIAM Journal on Numerical Analysis contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.

SIAM Journal on Uncertainty Quantification (SIJUQ)

SIAM Publishing, USA


The SIAM/ASA Journal on Uncertainty Quantification publishes research articles presenting significant mathematical, statistical, algorithmic, and application advances in uncertainty quantification and related fields such as sensitivity analysis, model validation, model calibration, data assimilation, and code verification. The journal also solicits papers describing new ideas that could lead to significant progress in methodology for uncertainty quantification as well as review articles on particular aspects. The journal is dedicated to nurturing synergistic interactions between the mathematical, statistical, computational, and applications communities involved in uncertainty quantification and related areas.

International Journal for Uncertainty Quantification (IJ4UQ)

SIAM Publishing, USA


The International Journal for Uncertainty Quantification disseminates information of permanent interest in the areas of analysis, modeling, design and control of complex systems in the presence of uncertainty. The journal seeks to emphasize methods that cross stochastic analysis, statistical modeling and scientific computing. Systems of interest are governed by differential equations possibly with multiscale features. Topics of particular interest include representation of uncertainty, propagation of uncertainty across scales, resolving the curse of dimensionality, long-time integration for stochastic PDEs, data-driven approaches for constructing stochastic models, validation, verification and uncertainty quantification for predictive computational science, and visualization of uncertainty in high-dimensional spaces. Bayesian computation and machine learning techniques are also of interest for example in the context of stochastic multiscale systems, for model selection/classification, and decision making. Reports addressing the dynamic coupling of modern experiments and modeling approaches towards predictive science are particularly encouraged. Applications of uncertainty quantification in all areas of physical and biological sciences are appropriate.

Special issue: International Journal of Computer Mathematics (IJCM)

Taylor and Francis, USA

Guest editors: Rick Archibald & Clayton Webster

Submission deadline: January 31, 2012


Please see the attached special issue announcement













Contact

Email: webstercg@ornl.gov

Phone: 865-574-3649

Google: 609-379-3271

Fax: 865-241-5552


Admin

Mr. Billy Fields

fieldsbd@ornl.gov

865-241-0212


Mailing address

Oak Ridge National Lab

One Bethel Valley Road

P.O. Box 2008, MS-6164

Oak Ridge, TN 37831-6164


Useful links

SIAM

AMS

CSMD

MATHUTK

SINUM

JUQ

IJ4UQ