Minisymposium (ID: SS-RPNMSC)

Recent progress in numerical methods and scientific computing

Rob Corless (University of Western Ontario), Dong Liang (York University), Justin Wan (University of Waterloo)

Owing to the significant novel requirements for scientific computing and applications, many new and efficient numerical methods have been developed and analyzed in the past ten years. This special session will focus on numerical methods for differential equations including both ordinary and partial differential equations and for eigenvalues of matrices and numerical linear algebra, by emphasizing new advances. The topics of interest are (but not limited to): high-order methods, conservative methods, FEMs, FDMs, compact FDMs, stochastic numerical methods, iterative methods, optimization methods, and parallel computing methods. The session will also emphasize both design and analysis of algorithms in applications of scientific computing, especially in scientific, data science, environment, energy, finance, image processing, MRI, engineering and industrial applications. This session will serve as a forum to bring together research scientists, application pioneers, and software developers to discuss problems and solutions and to identify new challenges in these areas.

Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-2017 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2017 Proceedings.

If you intend to submit your paper, please go to the AMMCS-2017 Proceedings Page. Follow exactly the Author Instructions accessible from that page.