Lines Matching refs:derivatives

116       : m_value(other.value()), m_derivatives(other.derivatives())
125       : m_value(other.value()), m_derivatives(other.derivatives())  in AutoDiffScalar()
132       m_derivatives = other.derivatives();
139       m_derivatives = other.derivatives();
157     inline const DerType& derivatives() const { return m_derivatives; }  in derivatives()  function
158     inline DerType& derivatives() { return m_derivatives; }  in derivatives()  function
188       return AutoDiffScalar<DerType&>(a + b.value(), b.derivatives());
211       internal::make_coherent(m_derivatives, other.derivatives());
214         m_derivatives + other.derivatives());
234             (a - b.value(), -b.derivatives());
247       internal::make_coherent(m_derivatives, other.derivatives());
250         m_derivatives - other.derivatives());
278       return MakeAutoDiffScalar(a.value() * other, a.derivatives() * other);
306 …return MakeAutoDiffScalar(other / a.value(), a.derivatives() * (Scalar(-other) / (a.value()*a.valu…
332       internal::make_coherent(m_derivatives, other.derivatives());
335           ((m_derivatives * other.value()) - (other.derivatives() * m_value))
345       internal::make_coherent(m_derivatives, other.derivatives());
348         (m_derivatives * other.value()) + (other.derivatives() * m_value));
410     return AutoDiffScalar<DerType&>(derived().value() + other, derived().derivatives());
415     return AutoDiffScalar<DerType&>(a + b.value(), b.derivatives());
430       derived().derivatives() * other);
438       a.derivatives() * other);
579   return Eigen::MakeAutoDiffScalar(abs(x.value()), x.derivatives() * (x.value()<0 ? -1 : 1) );)
583   return Eigen::MakeAutoDiffScalar(abs2(x.value()), x.derivatives() * (Scalar(2)*x.value()));)
588   return Eigen::MakeAutoDiffScalar(sqrtx,x.derivatives() * (Scalar(0.5) / sqrtx));)
593   return Eigen::MakeAutoDiffScalar(cos(x.value()), x.derivatives() * (-sin(x.value())));)
598   return Eigen::MakeAutoDiffScalar(sin(x.value()),x.derivatives() * cos(x.value()));)
603   return Eigen::MakeAutoDiffScalar(expx,x.derivatives() * expx);)
607   return Eigen::MakeAutoDiffScalar(log(x.value()),x.derivatives() * (Scalar(1)/x.value()));)
616   return Eigen::MakeAutoDiffScalar(pow(x.value(),y), x.derivatives() * (y * pow(x.value(),y-1)));
633   ret.derivatives() = (a.derivatives() * b.value() - a.value() * b.derivatives()) / squared_hypot;
641 …return Eigen::MakeAutoDiffScalar(tan(x.value()),x.derivatives() * (Scalar(1)/numext::abs2(cos(x.va…
646 …return Eigen::MakeAutoDiffScalar(asin(x.value()),x.derivatives() * (Scalar(1)/sqrt(1-numext::abs2(…
651 …return Eigen::MakeAutoDiffScalar(acos(x.value()),x.derivatives() * (Scalar(-1)/sqrt(1-numext::abs2…
656 …return Eigen::MakeAutoDiffScalar(tanh(x.value()),x.derivatives() * (Scalar(1)/numext::abs2(cosh(x.…
661   return Eigen::MakeAutoDiffScalar(sinh(x.value()),x.derivatives() * cosh(x.value()));)
666   return Eigen::MakeAutoDiffScalar(cosh(x.value()),x.derivatives() * sinh(x.value()));)