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Generalize the rounding loop and support sparse computations in prepr…
…ocessing routines (#312) * generalize rounding loop * support sparse cholesky operator * complete sparse support in max_inscribed_ball * complete sparse support in preprocesing * add sparse tests * change main rounding function name * improve explaining comments * resolve PR comments * changing the dates in copyrights * use if constexpr instead of SNIFAE * update the examples to cpp17 * update to cpp17 order polytope example * fix templating in mat_computational_operators * fix templating errors and change header file to mat_computational_operators
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// VolEsti (volume computation and sampling library) | ||
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// Copyright (c) 2024 Vissarion Fisikopoulos | ||
// Copyright (c) 2024 Apostolos Chalkis | ||
// Copyright (c) 2024 Elias Tsigaridas | ||
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// Licensed under GNU LGPL.3, see LICENCE file | ||
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#ifndef FEASIBLE_POINT_HPP | ||
#define FEASIBLE_POINT_HPP | ||
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#include <tuple> | ||
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#include "preprocess/max_inscribed_ball.hpp" | ||
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// Using MT as to deal with both dense and sparse matrices | ||
template <typename MT, typename VT> | ||
VT compute_feasible_point(MT const& A, VT const& b) | ||
{ | ||
VT x; | ||
bool feasibility_only = true, converged; | ||
unsigned max_iters = 10000; | ||
// Compute a feasible point | ||
std::tie(x, std::ignore, converged) = max_inscribed_ball(A, b, max_iters, 1e-08, feasibility_only); | ||
if (!converged || ((A * x).array() > b.array()).any()) | ||
{ | ||
std::runtime_error("The computation of a feasible point failed."); | ||
} | ||
return x; | ||
} | ||
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#endif |
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