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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Number of items: 6.

2019

Li, Mengling and Deng, Feiqi and Mao, Xuerong (2019) Basic theory and stability analysis for neutral stochastic functional differential equations with pure jumps. Science in China Series F - Information Sciences, 62. 12204. ISSN 1009-2757

Shen, Mingxuan and Fei, Chen and Fei, Weiyin and Mao, Xuerong (2019) Boundedness and stability of highly nonlinear neutral stochastic systems with multiple delays. Science in China Series F - Information Sciences. ISSN 1009-2757 (In Press)

2018

Song, Gongfei and Lu, Zhenyu and Zheng, Bo-Chao and Mao, Xuerong (2018) Almost sure stabilization of hybrid systems by feedback control based on discrete-time observations of mode and state. Science in China Series F - Information Sciences. ISSN 1009-2757

2017

Mo, Haoyi and Li, Mengling and Deng, Feiqi and Mao, Xuerong (2017) Exponential stability of the Euler-Maruyama method for neutral stochastic functional differential equations with jumps. Science in China Series F - Information Sciences. ISSN 1009-2757 (In Press)

2010

Tian, Zengfeng and Hu, Liangjian and Greenhalgh, David (2010) Perturbation analysis of fuzzy linear systems. Science in China Series F - Information Sciences, 180 (23). pp. 4706-4713. ISSN 1009-2757

2008

Mao, X. and Luo, Q. and Deng, F. and Bao, J. and Zhang, Y. (2008) Theory and application of stability for stochastic reaction diffusion systems. Science in China Series F - Information Sciences, 51 (2). pp. 158-170. ISSN 1009-2757

This list was generated on Sat Jul 4 07:28:53 2020 BST.