69 lines
2.0 KiB
C++
69 lines
2.0 KiB
C++
/* Copyright 2019 The fast_sparse_interpolation Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "common.hpp"
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// TODO: refactoring:
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/**
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* - Interface for MultiDimVector
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* - Typed interface?
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* - Tests?
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* - More point distributions / Basis functions?
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* - Forward evaluation?
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* - Computation of derivatives?
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*/
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void runFunctions() {
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constexpr size_t d = 3;
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size_t bound = 100;
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fsi::TemplateBoundedSumIterator<d> it(bound);
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// fsi::BoundedSumIterator it(d, bound);
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std::vector<MonomialFunctions> phi(d);
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std::vector<GoldenPointDistribution> x(d);
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auto rhs = evaluateFunction(it, f, x);
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auto op = createInterpolationOperator(it, phi, x);
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// std::cout << rhs << "\n";
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Timer timer;
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op.prepareSolve();
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// auto result = fsi::interpolate(f, it, phi, x);
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std::cout << "Time for prepareSolve(): " << timer.elapsed() << " s\n";
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timer.reset();
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auto c = op.solve(rhs);
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// auto c = fsi::interpolate(f, it, phi, x);
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std::cout << "Time for solve(): " << timer.elapsed() << " s\n";
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// std::cout << c << "\n";
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timer.reset();
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auto b = op.apply(c);
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std::cout << "Time for apply(): " << timer.elapsed() << " s\n";
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// std::cout << b << "\n";
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std::cout << "Number of points: " << it.numValues() << "\n";
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// for (size_t i = 0; i < result.data.size(); ++i) {
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// std::cout << result.data[i] << "\n\n";
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// }
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}
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// using namespace fsi;
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int main() {
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runFunctions();
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// measurePerformance();
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}
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