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IgANet
IgANets - Isogeometric Analysis Networks
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Demonstration of IgANet function fitting. More...
Classes | |
class | fitting< Optimizer, GeometryMap, Variable > |
Specialization of the abstract IgANet class for function fitting. More... | |
Functions | |
int | main () |
Demonstration of IgANet function fitting.
This example demonstrates how to implement an IgANet to fit a given function on a square geometry. In contrast to the example iganet_fitting_simple.cxx this examples makes use of pre-computed indices and coefficients and should therefore be faster.
This example can be configured with the following environment variables
IGANET_NCOEFFS - number of B-spline coefficients IGANET_NLAYERS - number of network layers IGANET_NNEURONS - number of neurons per layer IGANET_MAX_EPOCH - maximum number of epochs during training IGANET_MIN_LOSS - tolerance for loss function
This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
int main | ( | ) |