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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 6.


Fairag, Faisal and Chen, Ke and Brito-Loeza, Carlos and Ahmad, Shahbaz (2021) A two-level method for image denoising and image deblurring models using mean curvature regularization. International Journal of Computer Mathematics, 99 (4). pp. 693-713. ISSN 0020-7160


Roberts, Michael and Chen, Ke and Irion, Klaus L. (2019) Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models. International Journal of Computer Mathematics, 96 (8). pp. 1623-1647. ISSN 0020-7160


Guo, Qian and Liu, Wei and Mao, Xuerong and Zhan, Weijun (2017) Multi-level Monte Carlo methods with the truncated Euler-Maruyama scheme for stochastic differential equations. International Journal of Computer Mathematics. ISSN 0020-7160


Higham, Desmond J. (2015) An introduction to multilevel Monte Carlo for option valuation. International Journal of Computer Mathematics, 92 (12). pp. 2347-2360. ISSN 0020-7160


Abbasbandy, S. and Parkes, E.J. (2010) Solitary-wave solutions of the Degasperis-Procesi equation by means of the homotopy analysis method. International Journal of Computer Mathematics, 87 (10). pp. 2303-2313. ISSN 0020-7160


Kalna, Gabriela and Vass, J. Keith and Higham, Desmond J. (2008) Multidimensional partitioning and bi-partitioning : analysis and application to gene expression datasets. International Journal of Computer Mathematics, 85 (3/4). pp. 475-485. ISSN 0020-7160

This list was generated on Wed May 29 22:50:39 2024 BST.