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release 1.0
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gramian committed Jun 22, 2021
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3 changes: 3 additions & 0 deletions AUTHORS
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Christian Himpe (orcid:0000-0003-2194-6754) - Design, Architecture, Coding, Testing, Debugging, Documentation
Sara Grundel (orcid:0000-0002-0209-6566) - Coding, Testing, Debugging
Stephen Werner (orcid:0000-0003-1667-4862) - Code Review, Testing
Tim Mitchell (orcid:0000-0002-8426-0242) - Code Review, Testing
Jens Saak (orcid:0000-0001-5567-9637) - Code Review, Testing

6 changes: 3 additions & 3 deletions CITATION
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Cite As:

C. Himpe, S. Grundel, P. Benner (2021):
"Model Order Reduction for Gas and Energy Networks";
arXiv (math.OC): 2011.12099.
C. Himpe, S. Grundel, P. Benner:
Model Order Reduction for Gas and Energy Networks;
arXiv (math.OC): 2011.12099, 2021.
https://arxiv.org/abs/2011.12099

BibTeX Entry:
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12 changes: 6 additions & 6 deletions CODE
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# code.ini
name: Model Order Reduction for Gas and Energy Networks
shortname: morgen
version: 0.99
release-date: 2021-04-12
id: 10.5281/zenodo.4680265
version: 1.0
release-date: 2021-06-22
id: 10.5281/zenodo.4288509
id-type: doi
author: Christian Himpe, Sara Grundel
orcid: 0000-0003-2194-6754,
orcid: 0000-0003-2194-6754, 0000-0002-0209-6566
topic: Gas Network Simulation
type: Platform
license: BSD-2-Clause
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repository-type: git
language: Matlab
dependencies: Octave >=6.1, Matlab >=2020b
systems: Linux, Windows
website: github.com/mpcsc/morgen
systems: Linux, Windows, macOS
website: git.io/morgen
keywords: Model Reduction, Model Order Reduction, Gas Network, Gas Transport, Digital Twin
26 changes: 23 additions & 3 deletions DEMO.m
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%%% project: morgen - Model Order Reduction for Gas and Energy Networks
%%% version: 0.99 (2021-04-12)
%%% version: 1.0 (2021-06-22)
%%% authors: C. Himpe (0000-0003-2194-6754), S. Grundel (0000-0002-0209-6566)
%%% license: BSD-2-Clause (opensource.org/licenses/BSD-2-clause)
%%% summary: Basic demonstration of simulation and model reduction.

SETUP
mor_pipeline
morgen('pipeline', ... % Network
'day', ... % Scenario
'ode_end', ... % Model
'imex1', ... % Solver
{ ... % Reductors:
'pod_r', ... % Proper Orthogonal Decomposition (Reachability-Based)
'eds_ro_l', ... % Empirical Dominant Subspaces (Reachability-Observability-Based) Primal-Dual Variant
'eds_wx_l', ... % Empirical Dominant Subspaces (Minimality-Based) Primal-Dual Variant
'eds_wz_l', ... % Empirical Dominant Subspaces (Averaged-Minimality-Based) Primal-Dual Variant
'bpod_ro_l', ... % Balanced Proper Orthogonal Decomposition (Reachability-Observability-Based) Primal-Dual Variant
'ebt_ro_l', ... % Empirical Balanced Truncation (Reachability-Observability-Based) Primal-Dual Variant
'ebt_wx_l', ... % Empirical Balanced Truncation (Minimality-Based) Primal-Dual Variant
'ebt_wz_l', ... % Empirical Balanced Truncation (Averaged-Minimality-Based) Primal-Dual Variant
'gopod_r', ... % Goal-Oriented Proper Orthogonal Decomposition (Reachability-Based)
'ebg_ro_l', ... % Empirical Balanced Gains (Reachability-Observability-Based) Primal-Dual Variant
'ebg_wx_l', ... % Empirical Balanced Gains (Minimality-Based) Primal-Dual Variant
'ebg_wz_l', ... % Empirical Balanced Gains (Averaged-Minimality-Based) Primal-Dual Variant
'dmd_r', ... % Dynamic Mode Decomposition Galerkin (Reachability-Based)
}, ... % Ad-hoc configuration:
'dt=10', ... % Use 10s time-steps
'ord=50', ... % Maximum reduced order 50 (computation and evaluation)
'compact'); % Make compact plot instead of individual

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