Commit 53e6792c authored by René Fritze's avatar René Fritze Committed by René Fritze

[demos] remove not needed line cont.

parent 2cab7809
......@@ -28,32 +28,32 @@ Options:
--adaptive-greedy-rho=RHO See pymor.algorithms.adaptivegreedy [default: 1.1].
--adaptive-greedy-gamma=GAMMA See pymor.algorithms.adaptivegreedy [default: 0.2].
--adaptive-greedy-theta=THETA See pymor.algorithms.adaptivegreedy [default: 0.]
--alg=ALG The model reduction algorithm to use \
--alg=ALG The model reduction algorithm to use
(naive, greedy, adaptive_greedy, pod) [default: greedy].
--cache-region=REGION Name of cache region to use for caching solution snapshots \
--cache-region=REGION Name of cache region to use for caching solution snapshots
(none, memory, disk, persistent) [default: none].
--extension-alg=ALG Basis extension algorithm (trivial, gram_schmidt) \
--extension-alg=ALG Basis extension algorithm (trivial, gram_schmidt)
to be used [default: gram_schmidt].
--fenics Use FEniCS model.
--grid=NI Use grid with 4*NI*NI elements [default: 100].
-h, --help Show this message.
--ipython-engines=COUNT If positive, the number of IPython cluster engines to use for \
parallel greedy search. If zero, no parallelization is performed. \
--ipython-engines=COUNT If positive, the number of IPython cluster engines to use for
parallel greedy search. If zero, no parallelization is performed.
[default: 0]
--ipython-profile=PROFILE IPython profile to use for parallelization.
--list-vector-array Solve using ListVectorArray[NumpyVector] instead of NumpyVectorArray.
--order=ORDER Polynomial order of the Lagrange finite elements to use in FEniCS \
--order=ORDER Polynomial order of the Lagrange finite elements to use in FEniCS
model [default: 1].
--pickle=PREFIX Pickle reduced model, as well as reductor and high-dimensional \
--pickle=PREFIX Pickle reduced model, as well as reductor and high-dimensional
model to files with this prefix.
--plot-err Plot error.
--plot-solutions Plot some example solutions.
--plot-error-sequence Plot reduction error vs. basis size.
--product=PROD Product (euclidean, h1) w.r.t. which to orthonormalize \
--product=PROD Product (euclidean, h1) w.r.t. which to orthonormalize
and calculate Riesz representatives [default: h1].
--reductor=RED Reductor (error estimator) to choose (traditional, residual_basis) \
--reductor=RED Reductor (error estimator) to choose (traditional, residual_basis)
[default: residual_basis]
--test=COUNT Use COUNT snapshots for stochastic error estimation \
--test=COUNT Use COUNT snapshots for stochastic error estimation
[default: 10].
--greedy-without-estimator Do not use error estimator for basis generation.
"""
......
......@@ -22,7 +22,7 @@ Arguments:
Options:
--grid=NI Use grid with 2*NI*NI elements [default: 60].
--product=PROD Product (euclidean, h1) w.r.t. which to orthonormalize \
--product=PROD Product (euclidean, h1) w.r.t. which to orthonormalize
and calculate Riesz representatives [default: h1].
--testing load the gui and exit right away (for functional testing)
-h, --help Show this message.
......
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