Program Listing for File act-on-set.hxx

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//
// Copyright (c) 2015-2018 CNRS INRIA
//

#ifndef __pinocchio_act_on_set_hxx__
#define __pinocchio_act_on_set_hxx__

namespace pinocchio
{

  namespace internal
  {

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    struct ForceSetSe3Action
    {
      /* Compute jF = jXi * iF, where jXi is the dual action matrix associated
       * with m, and iF, jF are matrices whose columns are forces. The resolution
       * is done by block operation. It is less efficient than the colwise
       * operation and should not be used. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF);
    };

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    struct ForceSetSe3Action<Op, Scalar, Options, Mat, MatRet, 1>
    {
      /* Compute jF = jXi * iF, where jXi is the dual action matrix associated with m,
       * and iF, jF are vectors. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef ForceRef<const Mat> ForceRefOnMat;
        typedef ForceRef<MatRet> ForceRefOnMatRet;

        ForceRefOnMat fin(iF.derived());
        ForceRefOnMatRet fout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF));

        switch (Op)
        {
        case SETTO:
          fout = m.act(fin);
          break;
        case ADDTO:
          fout += m.act(fin);
          break;
        case RMTO:
          fout -= m.act(fin);
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }
    };

    /* Specialized implementation of block action, using colwise operation.  It
     * is empirically much faster than the true block operation, although I do
     * not understand why. */
    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    void ForceSetSe3Action<Op, Scalar, Options, Mat, MatRet, NCOLS>::run(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      for (int col = 0; col < jF.cols(); ++col)
      {
        typename MatRet::ColXpr jFc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF).col(col);
        forceSet::se3Action<Op>(m, iF.col(col), jFc);
      }
    }

    template<int Op, typename MotionDerived, typename Mat, typename MatRet, int NCOLS>
    struct ForceSetMotionAction
    {
      /* Compute dF = v ^ F, where  is the dual action operation associated
       * with v, and F, dF are matrices whose columns are forces. */
      static void run(
        const MotionDense<MotionDerived> & v,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF);
    };

    template<int Op, typename MotionDerived, typename Mat, typename MatRet>
    struct ForceSetMotionAction<Op, MotionDerived, Mat, MatRet, 1>
    {
      template<typename Fin, typename Fout>
      static void run(
        const MotionDense<MotionDerived> & v, const ForceDense<Fin> & fin, ForceDense<Fout> & fout)
      {
        switch (Op)
        {
        case SETTO:
          fin.motionAction(v, fout);
          break;
        case ADDTO:
          fout += v.cross(fin);
          break;
        case RMTO:
          fout -= v.cross(fin);
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }

      static void run(
        const MotionDense<MotionDerived> & v,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef ForceRef<const Mat> ForceRefOnMat;
        typedef ForceRef<MatRet> ForceRefOnMatRet;

        ForceRefOnMat fin(iF.derived());
        ForceRefOnMatRet fout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF));

        run(v, fin, fout);
      }
    };

    template<int Op, typename MotionDerived, typename Mat, typename MatRet, int NCOLS>
    void ForceSetMotionAction<Op, MotionDerived, Mat, MatRet, NCOLS>::run(
      const MotionDense<MotionDerived> & v,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      for (int col = 0; col < jF.cols(); ++col)
      {
        typename MatRet::ColXpr jFc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF).col(col);
        forceSet::motionAction<Op>(v, iF.col(col), jFc);
      }
    }

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    struct ForceSetSe3ActionInverse
    {
      /* Compute jF = jXi * iF, where jXi is the dual action matrix associated
       * with m, and iF, jF are matrices whose columns are forces. The resolution
       * is done by block operation. It is less efficient than the colwise
       * operation and should not be used. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF);
    };

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    struct ForceSetSe3ActionInverse<Op, Scalar, Options, Mat, MatRet, 1>
    {
      /* Compute jF = jXi * iF, where jXi is the dual action matrix associated with m,
       * and iF, jF are vectors. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef ForceRef<const Mat> ForceRefOnMat;
        typedef ForceRef<MatRet> ForceRefOnMatRet;

        ForceRefOnMat fin(iF.derived());
        ForceRefOnMatRet fout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF));

        switch (Op)
        {
        case SETTO:
          fout = m.actInv(fin);
          break;
        case ADDTO:
          fout += m.actInv(fin);
          break;
        case RMTO:
          fout -= m.actInv(fin);
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }
    };

    /* Specialized implementation of block action, using colwise operation.  It
     * is empirically much faster than the true block operation, although I do
     * not understand why. */
    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    void ForceSetSe3ActionInverse<Op, Scalar, Options, Mat, MatRet, NCOLS>::run(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      for (int col = 0; col < jF.cols(); ++col)
      {
        typename MatRet::ColXpr jFc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF).col(col);
        forceSet::se3ActionInverse<Op>(m, iF.col(col), jFc);
      }
    }

  } // namespace internal

  namespace forceSet
  {
    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3Action(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::ForceSetSe3Action<Op, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(
        m, iF, jF);
    }

    template<typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3Action(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::ForceSetSe3Action<SETTO, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(
        m, iF, jF);
    }

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3ActionInverse(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::ForceSetSe3ActionInverse<
        Op, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(m, iF, jF);
    }

    template<typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3ActionInverse(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::ForceSetSe3ActionInverse<
        SETTO, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(m, iF, jF);
    }

    template<int Op, typename MotionDerived, typename Mat, typename MatRet>
    static void motionAction(
      const MotionDense<MotionDerived> & v,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::ForceSetMotionAction<Op, MotionDerived, Mat, MatRet, Mat::ColsAtCompileTime>::run(
        v, iF, jF);
    }

    template<typename MotionDerived, typename Mat, typename MatRet>
    static void motionAction(
      const MotionDense<MotionDerived> & v,
      const Eigen::MatrixBase<Mat> & iF,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::ForceSetMotionAction<
        SETTO, MotionDerived, Mat, MatRet, Mat::ColsAtCompileTime>::run(v, iF, jF);
    }

  } // namespace forceSet

  namespace internal
  {

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    struct MotionSetSe3Action
    {
      /* Compute jF = jXi * iF, where jXi is the action matrix associated
       * with m, and iF, jF are matrices whose columns are motions. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF);
    };

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    struct MotionSetSe3Action<Op, Scalar, Options, Mat, MatRet, 1>
    {
      /* Compute jV = jXi * iV, where jXi is the action matrix associated with m,
       * and iV, jV are 6D vectors representing spatial velocities. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iV,
        Eigen::MatrixBase<MatRet> const & jV)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef MotionRef<const Mat> MotionRefOnMat;
        typedef MotionRef<MatRet> MotionRefOnMatRet;

        MotionRefOnMat min(iV.derived());
        MotionRefOnMatRet mout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV));

        switch (Op)
        {
        case SETTO:
          mout = m.act(min);
          break;
        case ADDTO:
          mout += m.act(min);
          break;
        case RMTO:
          mout -= m.act(min);
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }
    };

    /* Specialized implementation of block action, using colwise operation.  It
     * is empirically much faster than the true block operation, although I do
     * not understand why. */
    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    void MotionSetSe3Action<Op, Scalar, Options, Mat, MatRet, NCOLS>::run(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      for (int col = 0; col < jV.cols(); ++col)
      {
        typename MatRet::ColXpr jVc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV).col(col);
        motionSet::se3Action<Op>(m, iV.col(col), jVc);
      }
    }

    template<int Op, typename MotionDerived, typename Mat, typename MatRet, int NCOLS>
    struct MotionSetMotionAction
    {
      /* Compute dV = v ^ V, where  is the action operation associated
       * with v, and V, dV are matrices whose columns are motions. */
      static void run(
        const MotionDense<MotionDerived> & v,
        const Eigen::MatrixBase<Mat> & iV,
        Eigen::MatrixBase<MatRet> const & jV);
    };

    template<int Op, typename MotionDerived, typename Mat, typename MatRet, int NCOLS>
    void MotionSetMotionAction<Op, MotionDerived, Mat, MatRet, NCOLS>::run(
      const MotionDense<MotionDerived> & v,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      for (int col = 0; col < jV.cols(); ++col)
      {
        typename MatRet::ColXpr jVc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV).col(col);
        motionSet::motionAction<Op>(v, iV.col(col), jVc);
      }
    }

    template<int Op, typename MotionDerived, typename Mat, typename MatRet>
    struct MotionSetMotionAction<Op, MotionDerived, Mat, MatRet, 1>
    {
      static void run(
        const MotionDense<MotionDerived> & v,
        const Eigen::MatrixBase<Mat> & iV,
        Eigen::MatrixBase<MatRet> const & jV)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef MotionRef<const Mat> MotionRefOnMat;
        typedef MotionRef<MatRet> MotionRefOnMatRet;

        MotionRefOnMat min(iV.derived());
        MotionRefOnMatRet mout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV));

        switch (Op)
        {
        case SETTO:
          min.motionAction(v, mout);
          break;
        case ADDTO:
          mout += v.cross(min);
          break;
        case RMTO:
          mout -= v.cross(min);
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }
    };

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    struct MotionSetSe3ActionInverse
    {
      /* Compute jF = jXi * iF, where jXi is the action matrix associated
       * with m, and iF, jF are matrices whose columns are motions. The resolution
       * is done by block operation. It is less efficient than the colwise
       * operation and should not be used. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iF,
        Eigen::MatrixBase<MatRet> const & jF);
    };

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    struct MotionSetSe3ActionInverse<Op, Scalar, Options, Mat, MatRet, 1>
    {
      /* Compute jV = jXi * iV, where jXi is the action matrix associated with m,
       * and iV, jV are 6D vectors representing spatial velocities. */
      static void run(
        const SE3Tpl<Scalar, Options> & m,
        const Eigen::MatrixBase<Mat> & iV,
        Eigen::MatrixBase<MatRet> const & jV)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef MotionRef<Mat> MotionRefOnMat;
        typedef MotionRef<MatRet> MotionRefOnMatRet;

        MotionRefOnMat min(iV.derived());
        MotionRefOnMatRet mout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV));

        switch (Op)
        {
        case SETTO:
          mout = m.actInv(min);
          break;
        case ADDTO:
          mout += m.actInv(min);
          break;
        case RMTO:
          mout -= m.actInv(min);
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }
    };

    /* Specialized implementation of block action, using colwise operation.  It
     * is empirically much faster than the true block operation, although I do
     * not understand why. */
    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    void MotionSetSe3ActionInverse<Op, Scalar, Options, Mat, MatRet, NCOLS>::run(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      for (int col = 0; col < jV.cols(); ++col)
      {
        typename MatRet::ColXpr jVc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV).col(col);
        motionSet::se3ActionInverse<Op>(m, iV.col(col), jVc);
      }
    }

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    struct MotionSetInertiaAction
    {
      /* Compute dV = v ^ V, where  is the action operation associated
       * with v, and V, dV are matrices whose columns are motions. */
      static void run(
        const InertiaTpl<Scalar, Options> & I,
        const Eigen::MatrixBase<Mat> & iV,
        Eigen::MatrixBase<MatRet> const & jV);
    };

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet, int NCOLS>
    void MotionSetInertiaAction<Op, Scalar, Options, Mat, MatRet, NCOLS>::run(
      const InertiaTpl<Scalar, Options> & I,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      for (int col = 0; col < jV.cols(); ++col)
      {
        typename MatRet::ColXpr jVc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV).col(col);
        motionSet::inertiaAction<Op>(I, iV.col(col), jVc);
      }
    }

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    struct MotionSetInertiaAction<Op, Scalar, Options, Mat, MatRet, 1>
    {
      static void run(
        const InertiaTpl<Scalar, Options> & I,
        const Eigen::MatrixBase<Mat> & iV,
        Eigen::MatrixBase<MatRet> const & jV)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef MotionRef<const Mat> MotionRefOnMat;
        typedef ForceRef<MatRet> ForceRefOnMatRet;
        MotionRefOnMat min(iV.derived());
        ForceRefOnMatRet fout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jV));

        switch (Op)
        {
        case SETTO:
          I.__mult__(min, fout);
          break;
        case ADDTO:
          fout += I * min;
          break;
        case RMTO:
          fout -= I * min;
          break;
        default:
          assert(false && "Wrong Op requesed value");
          break;
        }
      }
    };

    template<int Op, typename ForceDerived, typename Mat, typename MatRet, int NCOLS>
    struct MotionSetActOnForce
    {
      static void run(
        const Eigen::MatrixBase<Mat> & iV,
        const ForceDense<ForceDerived> & f,
        Eigen::MatrixBase<MatRet> const & jF)
      {
        for (int col = 0; col < jF.cols(); ++col)
        {
          typename MatRet::ColXpr jFc = PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF).col(col);
          motionSet::act<Op>(iV.col(col), f, jFc);
        }
      }
    };

    template<int Op, typename ForceDerived, typename Mat, typename MatRet>
    struct MotionSetActOnForce<Op, ForceDerived, Mat, MatRet, 1>
    {
      /* Compute jF = jXi * iF, where jXi is the dual action matrix associated with m,
       * and iF, jF are vectors. */
      static void run(
        const Eigen::MatrixBase<Mat> & iV,
        const ForceDense<ForceDerived> & f,
        Eigen::MatrixBase<MatRet> const & jF)
      {
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(Mat);
        EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatRet);

        typedef MotionRef<const Mat> MotionRefOnMat;
        typedef ForceRef<MatRet> ForceRefOnMatRet;

        MotionRefOnMat vin(iV.derived());
        ForceRefOnMatRet fout(PINOCCHIO_EIGEN_CONST_CAST(MatRet, jF));
        ForceSetMotionAction<Op, MotionRefOnMat, Mat, MatRet, 1>::run(vin, f, fout);
      }
    };

  } // namespace internal

  namespace motionSet
  {
    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3Action(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetSe3Action<Op, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(
        m, iV, jV);
    }

    template<typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3Action(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetSe3Action<
        SETTO, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(m, iV, jV);
    }

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3ActionInverse(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetSe3ActionInverse<
        Op, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(m, iV, jV);
    }

    template<typename Scalar, int Options, typename Mat, typename MatRet>
    static void se3ActionInverse(
      const SE3Tpl<Scalar, Options> & m,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetSe3ActionInverse<
        SETTO, Scalar, Options, Mat, MatRet, Mat::ColsAtCompileTime>::run(m, iV, jV);
    }

    template<int Op, typename MotionDerived, typename Mat, typename MatRet>
    static void motionAction(
      const MotionDense<MotionDerived> & v,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetMotionAction<Op, MotionDerived, Mat, MatRet, Mat::ColsAtCompileTime>::run(
        v, iV, jV);
    }

    template<typename MotionDerived, typename Mat, typename MatRet>
    static void motionAction(
      const MotionDense<MotionDerived> & v,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetMotionAction<
        SETTO, MotionDerived, Mat, MatRet, Mat::ColsAtCompileTime>::run(v, iV, jV);
    }

    template<int Op, typename Scalar, int Options, typename Mat, typename MatRet>
    static void inertiaAction(
      const InertiaTpl<Scalar, Options> & I,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetInertiaAction<
        Op, Scalar, Options, Mat, MatRet, MatRet::ColsAtCompileTime>::run(I, iV, jV);
    }

    template<typename Scalar, int Options, typename Mat, typename MatRet>
    static void inertiaAction(
      const InertiaTpl<Scalar, Options> & I,
      const Eigen::MatrixBase<Mat> & iV,
      Eigen::MatrixBase<MatRet> const & jV)
    {
      internal::MotionSetInertiaAction<
        SETTO, Scalar, Options, Mat, MatRet, MatRet::ColsAtCompileTime>::run(I, iV, jV);
    }

    template<int Op, typename ForceDerived, typename Mat, typename MatRet>
    static void act(
      const Eigen::MatrixBase<Mat> & iV,
      const ForceDense<ForceDerived> & f,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::MotionSetActOnForce<Op, ForceDerived, Mat, MatRet, MatRet::ColsAtCompileTime>::run(
        iV, f, jF);
    }

    template<typename ForceDerived, typename Mat, typename MatRet>
    static void act(
      const Eigen::MatrixBase<Mat> & iV,
      const ForceDense<ForceDerived> & f,
      Eigen::MatrixBase<MatRet> const & jF)
    {
      internal::MotionSetActOnForce<
        SETTO, ForceDerived, Mat, MatRet, MatRet::ColsAtCompileTime>::run(iV, f, jF);
    }

  } // namespace motionSet

} // namespace pinocchio

#endif // ifndef __pinocchio_act_on_set_hxx__