don't index Eigen

1 files changed, 0 insertions, 220 deletions

diff --git a/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffVector.h b/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffVector.h
deleted file mode 100644
index 8c2d048..0000000
--- a/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffVector.h
+++ /dev/null
@@ -1,220 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-#ifndef EIGEN_AUTODIFF_VECTOR_H
-#define EIGEN_AUTODIFF_VECTOR_H
-
-namespace Eigen {
-
-/* \class AutoDiffScalar
-  * \brief A scalar type replacement with automatic differentation capability
-  *
-  * \param DerType the vector type used to store/represent the derivatives (e.g. Vector3f)
-  *
-  * This class represents a scalar value while tracking its respective derivatives.
-  *
-  * It supports the following list of global math function:
-  *  - std::abs, std::sqrt, std::pow, std::exp, std::log, std::sin, std::cos,
-  *  - internal::abs, internal::sqrt, numext::pow, internal::exp, internal::log, internal::sin, internal::cos,
-  *  - internal::conj, internal::real, internal::imag, numext::abs2.
-  *
-  * AutoDiffScalar can be used as the scalar type of an Eigen::Matrix object. However,
-  * in that case, the expression template mechanism only occurs at the top Matrix level,
-  * while derivatives are computed right away.
-  *
-  */
-template<typename ValueType, typename JacobianType>
-class AutoDiffVector
-{
-  public:
-    //typedef typename internal::traits<ValueType>::Scalar Scalar;
-    typedef typename internal::traits<ValueType>::Scalar BaseScalar;
-    typedef AutoDiffScalar<Matrix<BaseScalar,JacobianType::RowsAtCompileTime,1> > ActiveScalar;
-    typedef ActiveScalar Scalar;
-    typedef AutoDiffScalar<typename JacobianType::ColXpr> CoeffType;
-    typedef typename JacobianType::Index Index;
-
-    inline AutoDiffVector() {}
-
-    inline AutoDiffVector(const ValueType& values)
-      : m_values(values)
-    {
-      m_jacobian.setZero();
-    }
-
-
-    CoeffType operator[] (Index i) { return CoeffType(m_values[i], m_jacobian.col(i)); }
-    const CoeffType operator[] (Index i) const { return CoeffType(m_values[i], m_jacobian.col(i)); }
-
-    CoeffType operator() (Index i) { return CoeffType(m_values[i], m_jacobian.col(i)); }
-    const CoeffType operator() (Index i) const { return CoeffType(m_values[i], m_jacobian.col(i)); }
-
-    CoeffType coeffRef(Index i) { return CoeffType(m_values[i], m_jacobian.col(i)); }
-    const CoeffType coeffRef(Index i) const { return CoeffType(m_values[i], m_jacobian.col(i)); }
-
-    Index size() const { return m_values.size(); }
-
-    // FIXME here we could return an expression of the sum
-    Scalar sum() const { /*std::cerr << "sum \n\n";*/ /*std::cerr << m_jacobian.rowwise().sum() << "\n\n";*/ return Scalar(m_values.sum(), m_jacobian.rowwise().sum()); }
-
-
-    inline AutoDiffVector(const ValueType& values, const JacobianType& jac)
-      : m_values(values), m_jacobian(jac)
-    {}
-
-    template<typename OtherValueType, typename OtherJacobianType>
-    inline AutoDiffVector(const AutoDiffVector<OtherValueType, OtherJacobianType>& other)
-      : m_values(other.values()), m_jacobian(other.jacobian())
-    {}
-
-    inline AutoDiffVector(const AutoDiffVector& other)
-      : m_values(other.values()), m_jacobian(other.jacobian())
-    {}
-
-    template<typename OtherValueType, typename OtherJacobianType>
-    inline AutoDiffVector& operator=(const AutoDiffVector<OtherValueType, OtherJacobianType>& other)
-    {
-      m_values = other.values();
-      m_jacobian = other.jacobian();
-      return *this;
-    }
-
-    inline AutoDiffVector& operator=(const AutoDiffVector& other)
-    {
-      m_values = other.values();
-      m_jacobian = other.jacobian();
-      return *this;
-    }
-
-    inline const ValueType& values() const { return m_values; }
-    inline ValueType& values() { return m_values; }
-
-    inline const JacobianType& jacobian() const { return m_jacobian; }
-    inline JacobianType& jacobian() { return m_jacobian; }
-
-    template<typename OtherValueType,typename OtherJacobianType>
-    inline const AutoDiffVector<
-      typename MakeCwiseBinaryOp<internal::scalar_sum_op<BaseScalar>,ValueType,OtherValueType>::Type,
-      typename MakeCwiseBinaryOp<internal::scalar_sum_op<BaseScalar>,JacobianType,OtherJacobianType>::Type >
-    operator+(const AutoDiffVector<OtherValueType,OtherJacobianType>& other) const
-    {
-      return AutoDiffVector<
-      typename MakeCwiseBinaryOp<internal::scalar_sum_op<BaseScalar>,ValueType,OtherValueType>::Type,
-      typename MakeCwiseBinaryOp<internal::scalar_sum_op<BaseScalar>,JacobianType,OtherJacobianType>::Type >(
-        m_values + other.values(),
-        m_jacobian + other.jacobian());
-    }
-
-    template<typename OtherValueType, typename OtherJacobianType>
-    inline AutoDiffVector&
-    operator+=(const AutoDiffVector<OtherValueType,OtherJacobianType>& other)
-    {
-      m_values += other.values();
-      m_jacobian += other.jacobian();
-      return *this;
-    }
-
-    template<typename OtherValueType,typename OtherJacobianType>
-    inline const AutoDiffVector<
-      typename MakeCwiseBinaryOp<internal::scalar_difference_op<Scalar>,ValueType,OtherValueType>::Type,
-      typename MakeCwiseBinaryOp<internal::scalar_difference_op<Scalar>,JacobianType,OtherJacobianType>::Type >
-    operator-(const AutoDiffVector<OtherValueType,OtherJacobianType>& other) const
-    {
-      return AutoDiffVector<
-        typename MakeCwiseBinaryOp<internal::scalar_difference_op<Scalar>,ValueType,OtherValueType>::Type,
-        typename MakeCwiseBinaryOp<internal::scalar_difference_op<Scalar>,JacobianType,OtherJacobianType>::Type >(
-          m_values - other.values(),
-          m_jacobian - other.jacobian());
-    }
-
-    template<typename OtherValueType, typename OtherJacobianType>
-    inline AutoDiffVector&
-    operator-=(const AutoDiffVector<OtherValueType,OtherJacobianType>& other)
-    {
-      m_values -= other.values();
-      m_jacobian -= other.jacobian();
-      return *this;
-    }
-
-    inline const AutoDiffVector<
-      typename MakeCwiseUnaryOp<internal::scalar_opposite_op<Scalar>, ValueType>::Type,
-      typename MakeCwiseUnaryOp<internal::scalar_opposite_op<Scalar>, JacobianType>::Type >
-    operator-() const
-    {
-      return AutoDiffVector<
-        typename MakeCwiseUnaryOp<internal::scalar_opposite_op<Scalar>, ValueType>::Type,
-        typename MakeCwiseUnaryOp<internal::scalar_opposite_op<Scalar>, JacobianType>::Type >(
-          -m_values,
-          -m_jacobian);
-    }
-
-    inline const AutoDiffVector<
-      typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, ValueType>::Type,
-      typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, JacobianType>::Type>
-    operator*(const BaseScalar& other) const
-    {
-      return AutoDiffVector<
-        typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, ValueType>::Type,
-        typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, JacobianType>::Type >(
-          m_values * other,
-          m_jacobian * other);
-    }
-
-    friend inline const AutoDiffVector<
-      typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, ValueType>::Type,
-      typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, JacobianType>::Type >
-    operator*(const Scalar& other, const AutoDiffVector& v)
-    {
-      return AutoDiffVector<
-        typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, ValueType>::Type,
-        typename MakeCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, JacobianType>::Type >(
-          v.values() * other,
-          v.jacobian() * other);
-    }
-
-//     template<typename OtherValueType,typename OtherJacobianType>
-//     inline const AutoDiffVector<
-//       CwiseBinaryOp<internal::scalar_multiple_op<Scalar>, ValueType, OtherValueType>
-//       CwiseBinaryOp<internal::scalar_sum_op<Scalar>,
-//         CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, JacobianType>,
-//         CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, OtherJacobianType> > >
-//     operator*(const AutoDiffVector<OtherValueType,OtherJacobianType>& other) const
-//     {
-//       return AutoDiffVector<
-//         CwiseBinaryOp<internal::scalar_multiple_op<Scalar>, ValueType, OtherValueType>
-//         CwiseBinaryOp<internal::scalar_sum_op<Scalar>,
-//           CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, JacobianType>,
-//           CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, OtherJacobianType> > >(
-//             m_values.cwise() * other.values(),
-//             (m_jacobian * other.values()) + (m_values * other.jacobian()));
-//     }
-
-    inline AutoDiffVector& operator*=(const Scalar& other)
-    {
-      m_values *= other;
-      m_jacobian *= other;
-      return *this;
-    }
-
-    template<typename OtherValueType,typename OtherJacobianType>
-    inline AutoDiffVector& operator*=(const AutoDiffVector<OtherValueType,OtherJacobianType>& other)
-    {
-      *this = *this * other;
-      return *this;
-    }
-
-  protected:
-    ValueType m_values;
-    JacobianType m_jacobian;
-
-};
-
-}
-
-#endif // EIGEN_AUTODIFF_VECTOR_H