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Number of items: 18.

German

Hodgkinson, Arran and Chaplain, Mark A. J. and Domschke, Pia and Trucu, Dumitru (2018):
Computational Approaches and Analysis for a Spatio-Structural-Temporal Invasive Carcinoma Model.
In: Bulletin of Mathematical Biology, pp. 701-737, 80, (4), ISSN 0092-8240,
DOI: 10.1007/s11538-018-0396-4,
[Online-Edition: https://doi.org/10.1007/s11538-018-0396-4],
[Article]

Domschke, Pia and Hiller, Benjamin and Lang, Jens and Tischendorf, Caren (2017):
Modellierung von Gasnetzwerken: Eine Übersicht.
Darmstadt, Fachbereich Mathematik, TU Darmstadt, p. 33, In: Preprints, [Report]

Domschke, Pia and Trucu, Dumitru and Gerisch, Alf and Chaplain, Mark A. J. (2017):
Structured models of cell migration incorporating molecular binding processes.
In: Journal of Mathematical Biology, pp. 1517-1561, 75, (6-7), ISSN 0303-6812,
DOI: 10.1007/s00285-017-1120-y,
[Online-Edition: https://doi.org/10.1007/s00285-017-1120-y],
[Article]

Domschke, Pia and Groß, Martin and Hante, Falk M. and Hiller, Benjamin and Schewe, Lars and Schmidt, Martin (2015):
Mathematische Modellierung, Simulation und Optimierung von Gastransportnetzwerken.
In: gwf - Gas+Energie, pp. 880-885, 156, (11), [Online-Edition: https://www.di-verlag.de/de/Zeitschriften/gwf-Gas-Erdgas/201...],
[Article]

English

Mindt, Pascal and Lang, Jens and Domschke, Pia (2018):
Entropy-Preserving Coupling of Hierarchical Gas Models.
[Online-Edition: https://arxiv.org/abs/1812.05927],
[Report]

Domschke, Pia and Dua, Aseem and Stolwijk, Jeroen J. and Lang, Jens and Mehrmann, Volker (2018):
Adaptive refinement strategies for the simulation of gas flow in networks using a model hierarchy.
In: Electronic Transactions on Numerical Analysis, pp. 97-113, 48, DOI: 10.1553/etna_vol48s97,
[Article]

Domschke, Pia and Kolb, Oliver and Lang, Jens (2016):
Adaptive Modelling, Simulation and Optimization of Gas and Water Supply Networks.
In: PAMM, Wiley, pp. 839-840, 16, (1), DOI: 10.1002/pamm.201610408,
[Online-Edition: https://onlinelibrary.wiley.com/doi/abs/10.1002/pamm.2016104...],
[Article]

Trucu, Dumitru and Domschke, Pia and Gerisch, Alf and Chaplain, Mark A. J.
Preziosi, Luigi and Chaplain, Mark A. J. and Pugliese, Andrea (eds.) (2016):
Multiscale Computational Modelling and Analysis of Cancer Invasion.
In: Mathematical Models and Methods for Living Systems, Springer, Cham, pp. 275-321, DOI: 10.1007/978-3-319-42679-2_5,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-319-42679-2_...],
[Book Section]

Domschke, Pia and Kolb, Oliver and Lang, Jens (2015):
Adjoint-based error control for the simulation and optimization of gas and water supply networks.
In: Applied Mathematics and Computation, pp. 1003-1018, 259, ISSN 0096-3003,
DOI: 10.1016/j.amc.2015.03.029,
[Online-Edition: https://doi.org/10.1016/j.amc.2015.03.029],
[Article]

Domschke, Pia and Trucu, Dumitru and Gerisch, Alf and Chaplain, Mark A. J. (2014):
Mathematical modelling of cancer invasion: Implications of cell adhesion variability for tumour infiltrative growth patterns.
In: Journal of Theoretical Biology, pp. 41-60, 361, ISSN 00225193,
DOI: 10.1016/j.jtbi.2014.07.010,
[Online-Edition: https://doi.org/10.1016/j.jtbi.2014.07.010],
[Article]

Domschke, Pia and Kolb, Oliver and Lang, Jens
Yang, X.-S. and Koziel, S. (eds.) (2011):
Adjoint-Based Control of Model and Discretization Errors for Gas and Water Supply Networks.
In: Computational Optimization and Applications in Engineering and Industry, Berlin, Heidelberg, Springer, pp. 1-17, DOI: 10.1007/978-3-642-20986-4_1,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-642-20986-4_...],
[Book Section]

Domschke, Pia and Kolb, Oliver and Lang, Jens
Aubry, D. and Diéz, P. and Tie, B. and Parés, N. (eds.) (2011):
Adjoint-Based Error Control for the Simulation of Gas and Water Supply Networks.
In: Adaptive Modeling and Simulation 2011, Barcelona, International Center for Numerical Methods in Engineering (CIMNE), pp. 183-194, [Book Section]

Domschke, Pia and Kolb, Oliver and Lang, Jens (2011):
Adjoint-based control of model and discretisation errors for gas flow in networks.
In: International Journal of Mathematical Modelling and Numerical Optimisation, p. 175, 2, (2), ISSN 2040-3607,
DOI: 10.1504/IJMMNO.2011.039427,
[Online-Edition: http://dx.doi.org/10.1504/IJMMNO.2011.039427],
[Article]

Domschke, Pia (2011):
Adjoint-based control of model and discretization errors for gas transport in networked pipelines = Adjungierten-basierte Steuerung von Modell- und Diskretisierungsfehlern für Gastransport in vernetzten Pipelines.
München, Verl. Dr. Hut, TU Darmstadt, ISBN 978-3-8439-0072-0,
[Ph.D. Thesis]

Domschke, Pia and Geissler, Björn and Kolb, Oliver and Lang, Jens and Martin, Alexander and Morsi, Antonio (2010):
Combination of Nonlinear and Linear Optimization of Transient Gas Networks.
In: INFORMS Journal on Computing, ISSN 1091-9856,
DOI: 10.1287/ijoc.1100.0429,
[Online-Edition: http://dx.doi.org/10.1287/ijoc.1100.0429],
[Article]

Kolb, Oliver and Domschke, Pia and Lang, Jens (2010):
Modified QR decomposition to avoid non-uniqueness in water supply networks with extension to adjoint calculus.
In: Procedia Computer Science, pp. 1427-1434, 1, (1), ISSN 18770509,
DOI: 10.1016/j.procs.2010.04.158,
[Online-Edition: https://dx.doi.org/10.1016/j.procs.2010.04.158],
[Article]

Kolb, Oliver and Domschke, Pia and Lang, Jens
Fitt, Alistair D. and Norbury, John and Ockendon, Hilary and Wilson, Eddie (eds.) (2010):
Moving Penalty Functions for Optimal Control with PDEs on Networks.
In: Progress in Industrial Mathematics at ECMI 2008, Berlin, Heidelberg, Springer Berlin Heidelberg, pp. 925-931, DOI: 10.1007/978-3-642-12110-4_148,
[Online-Edition: http://dx.doi.org/10.1007/978-3-642-12110-4_148],
[Book Section]

Domschke, Pia and Kolb, Oliver and Lang, Jens (2010):
An adaptive model switching and discretization algorithm for gas flow on networks.
In: Procedia Computer Science, pp. 1331-1340, 1, (1), ISSN 18770509,
DOI: 10.1016/j.procs.2010.04.148,
[Online-Edition: https://dx.doi.org/10.1016/j.procs.2010.04.148],
[Article]

This list was generated on Tue Nov 12 02:10:39 2019 CET.