Numerical methods for modeling computer networks under nonstationary conditions, IEEE Journal on Selected Areas in Communications, vol.8, issue.9, pp.1682-1695, 1990. ,
DOI : 10.1109/49.62855
Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications, 2015. ,
Modelling the Pertubation of Traffic Based on Ateb-functions, International Conference on Computer Networks, Lwowek Slaski, pp.38-44, 2013. ,
DOI : 10.1007/978-3-642-38865-1_5
Cell fate regulatory networks, " in New Frontiers of Network Analysis in Systems Biology, 2012. ,
Complementing ODE-Based System Analysis Using Boolean Networks Derived from an Euler-Like Transformation, PLOS ONE, vol.153, issue.1, 2015. ,
DOI : 10.1371/journal.pone.0140954.s001
A CPU-GPU Hybrid Approach to the Uniformization Method for Solving Markovian Models ??? A Case Study of a Wireless Network, Proceedings of the 19th International Conference on Computer Networks, pp.2012-401 ,
DOI : 10.1007/978-3-642-31217-5_42
Networks of infinite-server queues with nonstationary Poisson input, Queueing Systems, vol.34, issue.1-3, pp.183-250, 1993. ,
DOI : 10.1016/B978-1-4832-0022-4.50006-5
A new class of QoS routing strategies based on network graph reduction, Computer Networks, vol.41, issue.4, pp.475-487, 2003. ,
DOI : 10.1016/S1389-1286(02)00414-0
URL : http://porto.polito.it/1414184/1/01019317.pdf
An ODE traffic network model, Journal of Computational and Applied Mathematics, vol.203, issue.2, pp.419-436, 2007. ,
DOI : 10.1016/j.cam.2006.04.007
URL : https://doi.org/10.1016/j.cam.2006.04.007
Pathway network analysis and an application to the ODE model of MMP2 activation in the early stage of cancer cell invasion, AIP Conference Proceedings, vol.1651, issue.1, pp.99-104, 2015. ,
DOI : 10.1063/1.4914439
A Unique Transformation from Ordinary Differential Equations to Reaction Networks, PLoS ONE, vol.482, issue.12, 2010. ,
DOI : 10.1371/journal.pone.0014284.g007
URL : https://hal.archives-ouvertes.fr/hal-01431261
Analysis and control of information diffusion dictated by user interest in generalized networks, Computational Social Networks, vol.393, issue.12, 2015. ,
DOI : 10.1038/30918
URL : https://doi.org/10.1186/s40649-015-0025-4
Modeling Information Diffusion in Implicit Networks, 2010 IEEE International Conference on Data Mining, pp.599-608, 2010. ,
DOI : 10.1109/ICDM.2010.22
URL : http://cs.stanford.edu/%7Ejure/pubs/lim-icdm10.pdf
Prediction of information diffusion in social networks using dynamic carrying capacity, 2016 IEEE International Conference on Big Data (Big Data), pp.2466-2469 ,
DOI : 10.1109/BigData.2016.7840883
Maximum Damage Malware Attack in Mobile Wireless Networks, IEEE/ACM Transactions on Networking, vol.20, issue.5, pp.1347-1360, 2012. ,
DOI : 10.1109/TNET.2012.2183642
URL : https://repository.upenn.edu/cgi/viewcontent.cgi?article=1625&context=ese_papers
Implementing an ODE code on distributed memory computers, Computers & Mathematics with Applications, vol.28, issue.10-12, pp.10-12, 1994. ,
DOI : 10.1016/0898-1221(94)00194-4
URL : https://doi.org/10.1016/0898-1221(94)00194-4
Artificial neural networks for solving ordinary and partial differential equations, IEEE Transactions on Neural Networks, vol.9, issue.5, pp.987-1000, 1998. ,
DOI : 10.1109/72.712178
The numerical solution of linear ordinary differential equations by feedforward neural networks, Mathematical and Computer Modelling, vol.19, issue.12, pp.1-25, 1994. ,
DOI : 10.1016/0895-7177(94)90095-7
URL : https://doi.org/10.1016/0895-7177(94)90095-7
Solving high order ordinary differential equations with radial basis function networks, International Journal for Numerical Methods in Engineering, vol.54, issue.6, pp.824-852, 2005. ,
DOI : 10.12989/sem.2003.15.5.535