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...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2016 | 2015 | 2014 | 2013 | 2010 | 2008 | 2007 | 2005 | 2004 | 2002 | 2001
Number of items: 16.

2019

Higham, Catherine F. and Higham, Desmond J. (2019) Deep learning : an introduction for applied mathematicians. SIAM Review, 61 (4). 860–891. ISSN 0036-1445

2016

Estrada, Ernesto and Hatano, Naomichi (2016) Communicability angle and the spatial efficiency of networks. SIAM Review, 58 (4). pp. 692-715. ISSN 0036-1445

2015

Pestana, Jennifer and Wathen, Andrew J. (2015) Natural preconditioning and iterative methods for saddle point systems. SIAM Review, 57 (1). 71–91. ISSN 0036-1445

2014

Elman, H.C. and Ramage, Alison and Silvester, D.J. (2014) IFISS : a computational laboratory for investigating incompressible flow problems. SIAM Review, 56 (2). pp. 261-273. ISSN 0036-1445

2013

Grindrod, P. and Higham, D.J. (2013) A matrix iteration for dynamic network summaries. SIAM Review, 55 (1). pp. 118-128. ISSN 0036-1445

2010

Estrada, Ernesto and Higham, Desmond (2010) Network properties revealed through matrix functions. SIAM Review, 52 (4). pp. 696-714.

2008

Higham, Desmond J. (2008) Modeling and simulating chemical reactions. SIAM Review, 50 (2). pp. 347-368. ISSN 0036-1445

2007

Higham, Desmond J. (2007) A matrix perturbation view of the small world phenomenon. SIAM Review, 49 (1). pp. 91-108. ISSN 0036-1445

Higham, D.J. (2007) A matrix perturbation view of the small world phenomenon, SIAM Review SIGEST section. SIAM Review, 49 (1). pp. 91-108. ISSN 0036-1445

2005

McBride, A.C. (2005) BIG is Beautiful. SIAM Review, 34. pp. 26-32. ISSN 0036-1445

2004

Ainsworth, M. (2004) Review of Adaptive Finite Element Methods for Differential Equations by W Bangerth and R Rannacher. SIAM Review, 46 (2). pp. 354-356. ISSN 0036-1445

2002

Higham, D.J. (2002) Nine ways to implement the binomial method for option valuation in MATLAB. SIAM Review, 44 (4). pp. 661-677. ISSN 0036-1445

2001

Higham, D.J. (2001) An algorithmic introduction to numerical simulation of stochastic differential equations. SIAM Review, 43 (3). pp. 525-546. ISSN 0036-1445

Mackenzie, John A. (2001) Book review of robust computational techniques for boundary layers. SIAM Review, 43 (3). pp. 563-565. ISSN 0036-1445

McBride, A.C. (2001) The 2000 International Mathematical Olympiad. SIAM Review, 30. pp. 19-21. ISSN 0036-1445

McBride, A.C. (2001) What is the next number in the sequence? SIAM Review, 30. pp. 28-31. ISSN 0036-1445

This list was generated on Sun Jul 5 05:42:22 2020 BST.