Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018 | 2017 | 2016 | 2015
Number of items: 13.

2020

Arrigo, Francesca and Higham, Desmond J. and Noferini, Vanni (2020) Beyond non-backtracking : non-cycling network centrality measures. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. ISSN 1471-2962 (In Press)

2019

Arrigo, Francesca and Higham, Desmond J. and Noferini, Vanni (2019) Non-backtracking PageRank. Journal of Scientific Computing, 80 (3). pp. 1419-1437. ISSN 0885-7474

Arrigo, Francesca and Higham, Desmond J. and Noferini, Vanni (2019) Non-backtracking alternating walks. SIAM Journal on Applied Mathematics, 79 (3). 781–801. ISSN 0036-1399

Arrigo, Francesca and Tudisco, Francesco; (2019) Multi-dimensional, multilayer, nonlinear and dynamic HITS. In: SIAM International Conference on Data Mining, SDM 2019. SIAM, CAN, pp. 369-377. ISBN 9781611975673

2018

Arrigo, Francesca and Grindrod, Peter and Higham, Desmond J. and Noferini, Vanni (2018) On the exponential generating function for non-backtracking walks. Linear Algebra and its Applications, 556. pp. 381-399. ISSN 0024-3795

Tudisco, Francesco and Arrigo, Francesca and Gautier, Antoine (2018) Node and layer eigenvector centralities for multiplex networks. SIAM Journal on Applied Mathematics, 78 (2). 853–876. ISSN 0036-1399

2017

Arrigo, Francesca and Grindrod, Peter and Higham, Desmond J. and Noferini, Vanni (2017) Non-backtracking walk centrality for directed networks. Journal of Complex Networks. ISSN 2051-1329

Arrigo, Francesca and Higham, Desmond J. (2017) Sparse matrix computations for dynamic network centrality. Applied Network Science, 2. 17. ISSN 2364-8228

2016

Arrigo, Francesca and Higham, Desmond J.; Cherifi, Hocine and Gaito, Sabrina and Quattrociocchi, Walter and Sala, Alessandra, eds. (2016) Preserving sparsity in dynamic network computation. In: Complex Networks & Their Applications V. Studies in Computational Intelligence, 693 . Springer, ITA, pp. 147-157. ISBN 9783319509013

Arrigo, Francesca and Benzi, Michele and Fenu, Caterina (2016) Computation of generalized matrix functions. SIAM Journal on Matrix Analysis and Applications, 37 (3). 836–860. ISSN 0895-4798

Arrigo, Francesca and Benzi, Michele (2016) Edge modification criteria for enhancing the communicability of digraphs. SIAM Journal on Matrix Analysis and Applications, 37 (1). pp. 443-468. ISSN 0895-4798

Arrigo, Francesca and Benzi, Michele (2016) Updating and downdating techniques for optimizing network communicability. SIAM Journal on Scientific Computing, 38 (1). B25-B49. ISSN 1064-8275

2015

Estrada, Ernesto and Arrigo, Francesca (2015) Predicting triadic closure in networks using communicability distance functions. SIAM Journal on Applied Mathematics, 75 (4). pp. 1725-1744. ISSN 0036-1399

This list was generated on Sat Jul 4 17:27:20 2020 BST.