Commit 6743ae1b authored by Sebastian Wolf's avatar Sebastian Wolf

Merge branch 'development' of git:xerus/xerus into development

parents 02e4a782 521dd164
Pipeline #939 passed with stages
in 9 minutes and 57 seconds
This diff is collapsed.
// Xerus - A General Purpose Tensor Library
// Copyright (C) 2014-2018 Benjamin Huber and Sebastian Wolf.
//
// Copyright (C) 2014-2018 Benjamin Huber and Sebastian Wolf.
//
// Xerus is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published
// by the Free Software Foundation, either version 3 of the License,
// or (at your option) any later version.
//
//
// Xerus is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
//
// You should have received a copy of the GNU Affero General Public License
// along with Xerus. If not, see <http://www.gnu.org/licenses/>.
//
// For further information on Xerus visit https://libXerus.org
// For further information on Xerus visit https://libXerus.org
// or contact us at contact@libXerus.org.
/**
......@@ -28,12 +28,14 @@
#include "../blockTT.h"
namespace xerus { namespace uq {
void uq_adf(TTTensor& _x, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const double _targetEps = 1e-8, const size_t _maxItr = 0);
TTTensor uq_adf(const UQMeasurementSet& _initalMeasurments, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const std::vector<size_t>& _dimensions, const double _targetEps = 1e-8, const size_t _maxItr = 0);
void uq_ra_adf(TTTensor& _x, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const double _targetEps = 1e-8, const size_t _maxItr = 0, const double _initalRankEps = 1e-2);
TTTensor uq_ra_adf(const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const std::vector<size_t>& _dimensions, const double _targetEps = 1e-8, const size_t _maxItr = 0);
void uq_adf(TTTensor& _x, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const double _targetEps = 1e-8, const size_t _maxItr = 0);
TTTensor uq_adf(const UQMeasurementSet& _initalMeasurments, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const std::vector<size_t>& _dimensions, const double _targetEps = 1e-8, const size_t _maxItr = 0);
void uq_ra_adf(TTTensor& _x, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const double _targetEps = 1e-8, const size_t _maxItr = 0, const double _initalRankEps = 1e-2);
TTTensor uq_ra_adf(const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const std::vector<size_t>& _dimensions, const double _targetEps = 1e-8, const size_t _maxItr = 0);
TTTensor uq_ra_adf_iv(TTTensor& _x, const UQMeasurementSet& _measurments, const PolynomBasis _basisType, const double _targetEps = 1e-8, const size_t _maxItr = 0);
}}
This diff is collapsed.
......@@ -174,6 +174,11 @@ void expose_recoveryAlgorithms() {
}, (arg("measurements"), arg("polynombasis"), arg("dimensions"), arg("targeteps"), arg("maxitr"))
);
def("uq_ra_adf_iv", +[](TTTensor& _x, const uq::UQMeasurementSet& _measurements, const uq::PolynomBasis _basisType, const double _targetEps, const size_t _maxItr){
return uq::uq_ra_adf_iv(_x, _measurements, _basisType, _targetEps, _maxItr);
}, (arg("initial guess"), arg("measurements"), arg("polynombasis"), arg("targeteps"), arg("maxitr"))
);
def("uq_tt_evaluate", +[](const TTTensor& _x, const std::vector<double>& _parameters, const uq::PolynomBasis _basisType) {
return uq::evaluate(_x, _parameters, _basisType);
}, (arg("x"), arg("parameters"), arg("basisType"))
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment