Research output per year
Research output per year
Personal profile
Personal profile
I joined UNNC in September 2017 after working at Universidad Técnica Federico Santa María (Valparaíso, Chile), Rice University (Houston, USA) and the University of Strathclyde (Glasgow, UK).
Expertise Summary
Finite element methods for obtaining approximate solutions to partial differential equations
Teaching
Introduction to Scientific Computation (2019/2020, 2020/2021)
Mathematics for Engineers (2017/2018, 2018/2019)
Computerised Mathematical Methods in Engineering (2018, 2019)
Calculus, Probability and Numerical Methods for Chemical and Environmental Engineering (2020)
Advanced Mathematical Methods for Civil Engineering (2020)
Person Types
- Staff
Fingerprint
Dive into the research topics where Richard Rankin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Understanding cellulose pyrolysis via ab initio deep learning potential field
Xiao, Y., Yan, Y., Do, H., Rankin, R., Zhao, H., Qian, P., Song, K., Wu, T. & Pang, C. H., May 2024, In: Bioresource Technology. 399, 130590.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus) -
POINTWISE A POSTERIORI ERROR ESTIMATES FOR DISCONTINUOUS GALERKIN METHODS FOR SINGULARLY PERTURBED REACTION-DIFFUSION EQUATIONS*
Kopteva, N. & Rankin, R., 2023, In: SIAM Journal on Numerical Analysis. 61, 4, p. 1938-1961 24 p.Research output: Journal Publication › Article › peer-review
1 Citation (Scopus) -
Applications of single cell profiles of PBMC:Improvements of cell type classification
Yang, L., Zhang, Y., Mitic, N., Keskin, D. B., Zhang, G. L., Chitkushev, L. T., Rankin, R. & Brusic, V., 2021, Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021. Huang, Y., Kurgan, L., Luo, F., Hu, X. T., Chen, Y., Dougherty, E., Kloczkowski, A. & Li, Y. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3334-3340 7 p. (Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Maximum–norm a posteriori error estimates for an optimal control problem
Otárola, E., Rankin, R. & Salgado, A. J., 1 Jul 2019, In: Computational Optimization and Applications. 73, 3, p. 997-1017 21 p.Research output: Journal Publication › Article › peer-review
Open AccessFile3 Citations (Scopus)26 Downloads (Pure) -
An a posteriori error analysis for an optimal control problem with point sources
Allendes, A., Otárola, E., Rankin, R. & Salgado, A. J., 1 Sept 2018, In: ESAIM: Mathematical Modelling and Numerical Analysis. 52, 5, p. 1617-1650 34 p.Research output: Journal Publication › Article › peer-review
Open AccessFile6 Citations (Scopus)23 Downloads (Pure)