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use template parameter Scalar instead of VectorType, fix a segfault.
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7db4052749
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@ -27,22 +27,19 @@
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#include <cminpack.h>
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template<typename Functor, typename VectorType>
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template<typename Functor, typename Scalar>
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// TODO : fixe Scalar here
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int ei_hybrd1(
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VectorType &x,
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VectorType &fvec,
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// ei_traits<VectorType>::Scalar tol
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double tol
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// = ei_sqrt(machine_epsilon<VectorType::Scalar>())
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Eigen::Matrix< double, Eigen::Dynamic, 1 > &x,
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Eigen::Matrix< double, Eigen::Dynamic, 1 > &fvec,
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Scalar tol = Eigen::ei_sqrt(Eigen::machine_epsilon<Scalar>())
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)
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{
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typedef typename VectorType::Scalar Scalar;
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int lwa = (x.size()*(3*x.size()+13))/2;
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VectorType wa(lwa);
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Eigen::Matrix< double, Eigen::Dynamic, 1 > wa(lwa);
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fvec.resize(x.size());
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return hybrd1(Functor::f, 0, x.size(), x.data(), fvec.data(), tol, wa.data(), lwa);
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}
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#endif // EIGEN_NONLINEAR_MATHFUNCTIONS_H
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@ -501,7 +501,7 @@ void testHybrd1()
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/* unless high solutions are required, */
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/* this is the recommended setting. */
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info = ei_hybrd1<myfunctor,VectorXd>(x, fvec, ei_sqrt(machine_epsilon<double>()));
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info = ei_hybrd1<myfunctor,double>(x, fvec);
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// check return value
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VERIFY( 1 == info);
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@ -510,7 +510,7 @@ void testHybrd1()
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VERIFY_IS_APPROX(fvec.norm(), 1.192636e-08);
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// check x
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VectorXd x_ref;
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VectorXd x_ref(n);
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x_ref << -0.5706545, -0.6816283, -0.7017325, -0.7042129, -0.701369, -0.6918656, -0.665792, -0.5960342, -0.4164121;
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VERIFY_IS_APPROX(x, x_ref);
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}
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