patch_point_values.hh

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/*!
 *
 * Copyright (C) 2015 Technical University of Liberec.  All rights reserved.
 *
 * This program is free software; you can redistribute it and/or modify it under
 * the terms of the GNU General Public License version 3 as published by the
 * Free Software Foundation. (http://www.gnu.org/licenses/gpl-3.0.en.html)
 *
 * This program is distributed in the hope that it will be useful, but WITHOUT
 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
 * FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
 *
 *
 * @file    patch_point_values.hh
 * @brief   Store finite element data on the actual patch
 *          such as shape function values, gradients, Jacobian
 *          of the mapping from the reference cell etc.
 * @author  David Flanderka
 */
 
#ifndef PATCH_POINT_VALUES_HH_
#define PATCH_POINT_VALUES_HH_
 
#include <Eigen/Dense>
 
#include "fem/eigen_tools.hh"
#include "fem/dh_cell_accessor.hh"
#include "fem/element_values.hh"
#include "quadrature/quadrature_lib.hh"
#include "fem/arena_resource.hh"
#include "fem/arena_vec.hh"
 
 
template<unsigned int spacedim> class PatchFEValues;
template<unsigned int spacedim> class ElOp;
template<unsigned int dim> class BulkValues;
template<unsigned int dim> class SideValues;
using Scalar = double;
using Vector = arma::vec3;
using Tensor = arma::mat33;
 
 
 
 
/// Type for conciseness
using ReinitFunction = std::function<void(std::vector<ElOp<3>> &, TableDbl &, TableInt &)>;
 
 
namespace FeBulk {
    /**
     * Enumeration of element bulk operations
     *
     * Operations are stored in fix order. Order in enum is equal to order
     * in PatchPointVale::operations_ vector. FE operations are added dynamically
     * by request of user.
     */
    enum BulkOps
    {
        /// operations evaluated on elements
        opElCoords,         ///< coordinations of all nodes of element
        opJac,              ///< Jacobian of element
        opInvJac,           ///< inverse Jacobian
        opJacDet,           ///< determinant of Jacobian
        /// operations evaluated on quadrature points
        opCoords,           ///< coordinations of quadrature point
        opWeights,          ///< weight of quadrature point
        opJxW               ///< JxW value of quadrature point
    };
}
 
 
namespace FeSide {
    /**
     * Enumeration of element side operations
     *
     * Operations are stored in fix order. Order in enum is equal to order
     * in PatchPointVale::operations_ vector. FE operations are added dynamically
     * by request of user.
     */
    enum SideOps
    {
        /// operations evaluated on elements
        opElCoords,             ///< coordinations of all nodes of element
        opElJac,                ///< Jacobian of element
        opElInvJac,             ///< inverse Jacobian of element
        /// operations evaluated on sides
        opSideCoords,           ///< coordinations of all nodes of side
        opSideJac,              ///< Jacobian of element
        opSideJacDet,           ///< determinant of Jacobian of side
        /// operation executed expansion to quadrature point (value of element / side > values on quadrature points)
        opExpansionElCoords,    ///< expands coordinates on element
        opExpansionElJac,       ///< expands Jacobian on element
        opExpansionElInvJac,    ///< expands inverse Jacobian on element
        opExpansionSideCoords,  ///< expands coordinates on side
        opExpansionSideJac,     ///< expands Jacobian on side
        opExpansionSideJacDet,  ///< expands Jacobian determinant on side
        /// operations evaluated on quadrature points
        opCoords,               ///< coordinations of quadrature point
        opWeights,              ///< weight of quadrature point
        opJxW,                  ///< JxW value of quadrature point
        opNormalVec             ///< normal vector of quadrature point
    };
}
 
 
/// Distinguishes operations by type and size of output rows
enum OpSizeType
{
    elemOp,      ///< operation is evaluated on elements or sides
    pointOp,     ///< operation is evaluated on quadrature points
    fixedSizeOp  ///< operation has fixed size and it is filled during initialization
};
 
 
 
/**
 * v Class for storing FE data of quadrature points on one patch.
 *
 * Store data of bulk or side quadrature points of one dimension.
 */
template<unsigned int spacedim = 3>
class PatchPointValues
{
public:
    /**
     * Constructor
     *
     * @param dim Set dimension
     */
    PatchPointValues(uint dim, AssemblyArena &patch_arena)
    : dim_(dim), n_rows_(0), elements_map_(300, 0), points_map_(300, 0), patch_arena_(patch_arena) {}
 
    /**
     * Initialize object, set number of columns (quantities) in tables.
     *
     * Number of columns of int_vals_ table is passed by argument \p int_cols, number of columns
     * of other tables is given by n_rows_ value.
     */
    void initialize(uint int_cols) {
        this->reset();
 
        point_vals_.resize(n_rows_);
        int_vals_.resize(int_cols);
    }
 
    /// Reset number of columns (points and elements)
    inline void reset() {
        n_points_ = 0;
        n_elems_ = 0;
    }
 
    /// Getter for dim_
    inline uint dim() const {
        return dim_;
    }
 
    /// Getter for n_rows_
    inline uint n_rows() const {
        return n_rows_;
    }
 
    /// Getter for n_elems_
    inline uint n_elems() const {
        return n_elems_;
    }
 
    /// Getter for n_points_
    inline uint n_points() const {
        return n_points_;
    }
 
    /// Getter for quadrature
    Quadrature *get_quadrature() const {
        return quad_;
    }
 
    /// Resize data tables. Method is called before reinit of patch.
    void resize_tables(uint n_elems, uint n_points) {
        std::vector<uint> sizes = {n_elems, n_points};
        for (auto &elOp : operations_)
            if (elOp.size_type() != fixedSizeOp) {
                elOp.allocate_result(sizes[elOp.size_type()], patch_arena_);
            }
        for (uint i=0; i<point_vals_.rows(); ++i) {
            if (row_sizes_[i] == elemOp) {
                point_vals_(i).resize(n_elems);
                point_vals_(i).setZero(n_elems,1);
            } else if (row_sizes_[i] == pointOp) {
                point_vals_(i).resize(n_points);
                point_vals_(i).setZero(n_points,1);
            }
        }
        eigen_tools::resize_table(int_vals_, n_points);
    }
 
    /**
     * Register element, add to point_vals_ table
     *
     * @param coords            Coordinates of element nodes.
     * @param element_patch_idx Index of element on patch.
     */
    uint register_element(arma::mat coords, uint element_patch_idx) {
        ElOp<spacedim> &op = operations_[FeBulk::BulkOps::opElCoords];
        uint res_column = op.result_row();
        auto &coords_mat = op.result_matrix();
        std::size_t i_elem = n_elems_;
        for (uint i_col=0; i_col<coords.n_cols; ++i_col)
            for (uint i_row=0; i_row<coords.n_rows; ++i_row) {
                point_vals_(res_column)(n_elems_) = coords(i_row, i_col);
                coords_mat(i_row, i_col)(i_elem) = coords(i_row, i_col);
                ++res_column;
            }
 
        elements_map_[element_patch_idx] = n_elems_;
        return n_elems_++;
    }
 
    /**
     * Register side, add to point_vals_ table
     *
     * @param coords      Coordinates of element nodes.
     * @param side_coords Coordinates of side nodes.
     */
    uint register_side(arma::mat elm_coords, arma::mat side_coords) {
        uint res_column = operations_[FeSide::SideOps::opElCoords].result_row();
        for (uint i_col=0; i_col<elm_coords.n_cols; ++i_col)
            for (uint i_row=0; i_row<elm_coords.n_rows; ++i_row) {
                point_vals_(res_column)(n_elems_) = elm_coords(i_row, i_col);
                ++res_column;
            }
 
        res_column = operations_[FeSide::SideOps::opSideCoords].result_row();
        for (uint i_col=0; i_col<side_coords.n_cols; ++i_col)
            for (uint i_row=0; i_row<side_coords.n_rows; ++i_row) {
                point_vals_(res_column)(n_elems_) = side_coords(i_row, i_col);
                ++res_column;
            }
 
        return n_elems_++;
    }
 
    /**
     * Register bulk point, add to int_vals_ table
     *
     * @param elem_table_row  Index of element in temporary element table.
     * @param value_patch_idx Index of point in ElementCacheMap.
     * @param elem_idx        Index of element in Mesh.
     */
    uint register_bulk_point(uint elem_table_row, uint value_patch_idx, uint elem_idx) {
        int_vals_(0)(n_points_) = value_patch_idx;
        int_vals_(1)(n_points_) = elem_table_row;
        int_vals_(2)(n_points_) = elem_idx;
 
        points_map_[value_patch_idx] = n_points_;
        return n_points_++;
    }
 
    /**
     * Register side point, add to int_vals_ table
     *
     * @param elem_table_row  Index of side in temporary element table.
     * @param value_patch_idx Index of point in ElementCacheMap.
     * @param elem_idx        Index of element in Mesh.
     * @param side_idx        Index of side on element.
     */
    uint register_side_point(uint elem_table_row, uint value_patch_idx, uint elem_idx, uint side_idx) {
        int_vals_(0)(n_points_) = value_patch_idx;
        int_vals_(1)(n_points_) = elem_table_row;
        int_vals_(2)(n_points_) = elem_idx;
        int_vals_(3)(n_points_) = side_idx;
 
        points_map_[value_patch_idx] = n_points_;
        return n_points_++;
    }
 
    /**
     * Adds accessor of new operation to operations_ vector
     *
     * @param shape          Shape of function output
     * @param reinit_f       Reinitialize function
     * @param input_ops_vec  Indices of input operations in operations_ vector.
     * @param size_type Type of operation by size of rows
     */
    ElOp<spacedim> &make_new_op(std::initializer_list<uint> shape, ReinitFunction reinit_f, std::vector<uint> input_ops_vec, OpSizeType size_type = pointOp) {
        ElOp<spacedim> op_accessor(this->dim_, shape, this->n_rows_, reinit_f, size_type, input_ops_vec);
        this->n_rows_ += op_accessor.n_comp();
        row_sizes_.insert(row_sizes_.end(), op_accessor.n_comp(), size_type);
        operations_.push_back(op_accessor);
        return operations_[operations_.size()-1];
    }
 
    /**
     * Adds accessor of new operation with fixed data size (ref data) to operations_ vector
     *
     * @param shape          Shape of function output
     * @param reinit_f       Reinitialize function
     */
    ElOp<spacedim> &make_fixed_op(std::initializer_list<uint> shape, ReinitFunction reinit_f) {
        return make_new_op(shape, reinit_f, {}, fixedSizeOp);
    }
 
    /**
     * Adds accessor of expansion operation to operations_ vector
     *
     * @param el_op     Source operation of expansion.
     * @param shape     Shape of function output
     * @param reinit_f  Reinitialize function
     */
    ElOp<spacedim> &make_expansion(ElOp<spacedim> &el_op, std::initializer_list<uint> shape, ReinitFunction reinit_f) {
        ElOp<spacedim> op_accessor(this->dim_, shape, el_op.result_row(), reinit_f, OpSizeType::pointOp);
        // shape passed from el_op throws:
        // C++ exception with description "std::bad_alloc" thrown in the test body.
        operations_.push_back(op_accessor);
        return operations_[operations_.size()-1];
    }
 
    /**
     * Adds accessor of FE operation and adds operation dynamically to operations_ vector
     *
     * @param shape          Shape of function output
     * @param reinit_f       Reinitialize function
     * @param input_ops_vec  Indices of input operations in operations_ vector.
     * @param n_dofs         Number of DOFs
     * @param size_type      Type of operation by size of rows
     */
    ElOp<spacedim> &make_fe_op(std::initializer_list<uint> shape, ReinitFunction reinit_f, std::vector<uint> input_ops_vec, uint n_dofs,
            OpSizeType size_type = pointOp) {
        ElOp<spacedim> op_accessor(this->dim_, shape, this->n_rows_, reinit_f, size_type, input_ops_vec, n_dofs);
        this->n_rows_ += op_accessor.n_comp() * n_dofs;
        row_sizes_.insert(row_sizes_.end(), op_accessor.n_comp() * n_dofs, size_type);
        operations_.push_back(op_accessor);
        return operations_[operations_.size()-1];
    }
 
 
    /**
     * Reinitializes patch data.
     *
     * Calls reinit functions defined on each operations.
     */
    void reinit_patch() {
        if (n_elems_ == 0) return; // skip if tables are empty
        for (uint i=0; i<operations_.size(); ++i)
            operations_[i].reinit_function(operations_, point_vals_, int_vals_);
    }
 
    /**
     * Returns scalar output value given by index of first row and index of quadrature point.
     *
     * @param result_row  Row of operation in point_vals_ data table
     * @param point_idx   Index of quadrature point in ElementCacheMap
     */
    inline Scalar scalar_val(uint result_row, uint point_idx) const {
        return point_vals_(result_row)(points_map_[point_idx]);
    }
    inline Scalar scalar_value(uint op_idx, uint point_idx) const {
        return operations_[op_idx].result_matrix()(0)(points_map_[point_idx]);
    }
 
    /**
     * Returns vector output value given by index of first row and index of quadrature point.
     *
     * @param result_row  First row of operation in point_vals_ data table
     * @param point_idx   Index of quadrature point in ElementCacheMap
     */
    inline Vector vector_val(uint result_row, uint point_idx) const {
        Vector val;
        for (uint i=0; i<3; ++i)
            val(i) = point_vals_(result_row+i)(points_map_[point_idx]);
        return val;
    }
    inline Vector vector_value(uint op_idx, uint point_idx) const {
        Vector val;
        const auto &op_matrix = operations_[op_idx].result_matrix();
        for (uint i=0; i<3; ++i)
            val(i) = op_matrix(i)(points_map_[point_idx]);
        return val;
    }
 
    /**
     * Returns tensor output value given by index of first row and index of quadrature point.
     *
     * @param result_row  First row of operation in point_vals_ data table
     * @param point_idx   Index of quadrature point in ElementCacheMap
     */
    inline Tensor tensor_val(uint result_row, uint point_idx) const {
        Tensor val;
        for (uint i=0; i<3; ++i)
            for (uint j=0; j<3; ++j)
                val(i,j) = point_vals_(result_row+3*i+j)(points_map_[point_idx]);
        return val;
    }
    inline Tensor tensor_value(uint op_idx, uint point_idx) const {
        Tensor val;
        const auto &op_matrix = operations_[op_idx].result_matrix();
        for (uint i=0; i<3; ++i)
            for (uint j=0; j<3; ++j)
                val(i,j) = op_matrix(i,j)(points_map_[point_idx]);
        return val;
    }
 
    /**
     * Performs output of data tables to stream.
     *
     * Development method.
     * @param points Allows switched off output of point table,
     * @param ints   Allows switched off output of int (connectivity to elements) table,
     */
    void print_data_tables(ostream& stream, bool points, bool ints) const {
        if (points) {
            stream << "Point vals: " << point_vals_.rows() << " - " << point_vals_.cols() << std::endl;
            for (auto &op : operations_) {
                const auto &mat = op.result_matrix();
                for (uint i_mat=0; i_mat<mat.rows()*mat.cols(); ++i_mat) {
                    if (mat(i_mat).data_size()==0) stream << "<empty>";
                    else {
                        const double *vals = mat(i_mat).data_ptr();
                        for (size_t i_val=0; i_val<mat(i_mat).data_size(); ++i_val)
                            stream << vals[i_val] << " ";
                    }
                    stream << std::endl;
                }
            }
            stream << std::endl;
        }
        if (ints) {
            stream << "Int vals: " << int_vals_.rows() << " - " << int_vals_.cols() << std::endl;
            for (uint i_row=0; i_row<n_points_; ++i_row) {
                for (uint i_col=0; i_col<3; ++i_col)
                    stream << int_vals_(i_col)(i_row) << " ";
                stream << std::endl;
            }
            stream << std::endl;
        }
    }
 
    /**
     * Performs table of fixed operations to stream.
     *
     * Development method.
     * @param bulk_side Needs set 0 (bulk) or 1 (side) for correct output of operation names.
     */
    void print_operations(ostream& stream, uint bulk_side) const {
        std::vector< std::vector<std::string> > op_names =
        {
            { "el_coords", "jacobian", "inv_jac", "jac_det", "pt_coords", "weights", "JxW", "", "", "", "", "" },
            { "el_coords", "el_jac", "el_inv_jac", "side_coords", "side_jac", "side_jac_det", "exp_el_coords", "exp_el_jac", "exp_el_inv_jac",
              "exp_side_coords", "exp_side_jac", "exp_side_jac_det", "pt_coords", "weights", "JxW", "normal_vec", "", "", "", "", "" }
        };
        stream << std::setfill(' ') << " Operation" << setw(12) << "" << "Shape" << setw(2) << ""
                << "Result row" << setw(2) << "" << "n DOFs" << setw(2) << "" << "Input operations" << endl;
        for (uint i=0; i<operations_.size(); ++i) {
            stream << " " << std::left << setw(20) << op_names[bulk_side][i] << "" << " " << setw(6) << operations_[i].format_shape() << "" << " "
                << setw(11) << operations_[i].result_row() << "" << " " << setw(7) << operations_[i].n_dofs() << "" << " ";
            auto &input_ops = operations_[i].input_ops();
            for (auto i_o : input_ops) stream << op_names[bulk_side][i_o] << " ";
            stream << std::endl;
        }
    }
 
protected:
    /**
     * Store data of bulk or side quadrature points of one dimension
     *
     * Number of columns is given by n_rows_, number of used rows by n_points_.
     */
    TableDbl point_vals_;
    /**
     * Hold integer values of quadrature points of previous table.
     *
     * Table contains following columns:
     *  0: Index of quadrature point on patch
     *  1: Row of element/side in point_vals_ table in registration step (before expansion)
     *  2: Element idx in Mesh
     *  3: Index of side in element (column is allocated only for side point table)
     * Number of used rows is given by n_points_.
     */
    TableInt int_vals_;
 
    /// Vector of all defined operations
    std::vector<ElOp<spacedim>> operations_;
 
    uint dim_;                          ///< Dimension
    uint n_rows_;                       ///< Number of columns of \p point_vals table
    uint n_points_;                     ///< Number of points in patch
    uint n_elems_;                      ///< Number of elements in patch
    Quadrature *quad_;                  ///< Quadrature of given dimension and order passed in constructor.
 
    std::vector<uint> elements_map_;    ///< Map of element patch indices to el_vals_ table
    std::vector<uint> points_map_;      ///< Map of point patch indices  to point_vals_ and int_vals_ tables
    std::vector<OpSizeType> row_sizes_; ///< hold sizes of rows by type of operation
    AssemblyArena &patch_arena_;        ///< Reference to global Arena of PatchFeValues
 
    friend class PatchFEValues<spacedim>;
    friend class ElOp<spacedim>;
    template<unsigned int dim>
    friend class BulkValues;
    template<unsigned int dim>
    friend class SideValues;
    template<unsigned int dim>
    friend class JoinValues;
};
 
/**
 * @brief Class represents element or FE operations.
 */
template<unsigned int spacedim = 3>
class ElOp {
public:
    /**
     * Constructor
     *
     * Set all data members.
     */
    ElOp(uint dim, std::initializer_list<uint> shape, uint result_row, ReinitFunction reinit_f, OpSizeType size_type, std::vector<uint> input_ops = {}, uint n_dofs = 1)
    : dim_(dim), shape_(set_shape_vec(shape)), result_row_(result_row), size_type_(size_type), input_ops_(input_ops), n_dofs_(n_dofs), reinit_func(reinit_f)
    {}
 
    /// Aligns shape_vec to 2 items (equal to matrix number of dimensions)
    std::vector<uint> set_shape_vec(std::initializer_list<uint> shape) const {
        std::vector<uint> shape_vec(shape);
        if (shape_vec.size() == 1) shape_vec.push_back(1);
        ASSERT_EQ(shape_vec.size(), 2);
        return shape_vec;
    }
 
    /**
     * Return number of operation components
     *
     * Value is computed from shape_ vector
     */
    inline uint n_comp() const {
        return shape_[0] * shape_[1];
    }
 
    /// Getter for dimension
    inline uint dim() const {
        return dim_;
    }
 
    /// Getter for result_row_
    inline uint result_row() const {
        return result_row_;
    }
 
    /// Getter for size_type_
    OpSizeType size_type() const {
        return size_type_;
    }
 
    /// Getter for n_dofs_
    inline uint n_dofs() const {
        return n_dofs_;
    }
 
    /// Getter for input_ops_
    inline const std::vector<uint> &input_ops() const {
        return input_ops_;
    }
 
    /// Getter for shape_
    inline const std::vector<uint> &shape() const {
        return shape_;
    }
 
    /**
     * Format shape to string
     *
     * Method is used in output development method.
     */
    inline std::string format_shape() const {
        stringstream ss;
        ss << shape_[0] << "x" << shape_[1];
        return ss.str();
    }
 
    /// Call reinit function on element table if function is defined
    inline void reinit_function(std::vector<ElOp<spacedim>> &operations, TableDbl &data_table, TableInt &int_table) {
        reinit_func(operations, data_table, int_table);
    }
 
    inline void allocate_result(size_t data_size, AssemblyArena &arena) {
        result_ = Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic>(shape_[0], shape_[1]);
        for (uint i=0; i<n_comp(); ++i)
            result_(i) = ArenaVec<double>(data_size, arena);
    }
 
    /// Return map referenced result as Eigen::Matrix
    Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic> &result_matrix() {
        return result_;
    }
//    Eigen::Map<Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic>> result_matrix() {
//        return Eigen::Map<Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic>>(result_.data(), shape_[0], shape_[1]);
//    }
 
    /// Same as previous but return const reference
    const Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic> &result_matrix() const {
        return result_;
    }
//    const Eigen::Map<Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic>> result_matrix() const {
//        return Eigen::Map<Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic>>(result_.data(), shape_[0], shape_[1]);
//    }
 
    /// Return map referenced Eigen::Matrix of given dimension
    template<unsigned int dim1, unsigned int dim2>
    Eigen::Map<Eigen::Matrix<ArrayDbl, dim1, dim2>> value(TableDbl &op_results, uint i_dof = 0) const {
        return Eigen::Map<Eigen::Matrix<ArrayDbl, dim1, dim2>>(op_results.data() + result_row_ + i_dof * n_comp(), dim1, dim2);
    }
 
    /// Return map referenced Eigen::Matrix of given dimensions
    Eigen::Map<Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>> matrix_value(TableDbl &op_results, uint dim1, uint dim2) const {
        return Eigen::Map<Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic>>(op_results(result_row_).data(), dim1, dim2);
    }
 
    /// Return map referenced Eigen::Matrix of given dimensions
    Eigen::Map<Eigen::Vector<double, Eigen::Dynamic>> vector_value(TableDbl &op_results) const {
        return Eigen::Map<Eigen::Vector<double, Eigen::Dynamic>>(op_results(result_row_).data(), op_results(result_row_).rows());
    }
 
 
protected:
    uint dim_;                                ///< Dimension
    std::vector<uint> shape_;                 ///< Shape of stored data (size of vector or number of rows and cols of matrix)
    uint result_row_;                         ///< First row to scalar, vector or matrix result TODO replace
    Eigen::Matrix<ArenaVec<double>, Eigen::Dynamic, Eigen::Dynamic> result_;
                                              ///< Result matrix of operation
    OpSizeType size_type_;                    ///< Type of operation by size of vector (element, point or fixed size)
    std::vector<uint> input_ops_;             ///< Indices of operations in PatchPointValues::operations_ vector on which ElOp is depended
    uint n_dofs_;                             ///< Number of DOFs of FE operations (or 1 in case of element operations)
 
    ReinitFunction reinit_func;               ///< Pointer to patch reinit function of element data table specialized by operation
};
 
 
/// Defines common functionality of reinit operations.
struct common_reinit {
    // empty base operation
    static inline void op_base(FMT_UNUSED std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // empty
    }
 
    // expansion operation
    static inline void expand_data(ElOp<3> &op, TableDbl &op_results, TableInt &el_table) {
        uint row_begin = op.result_row();
        uint row_end = row_begin + op.n_comp();
        uint size = op_results(row_begin).rows();
        for (int i_pt=size-1; i_pt>=0; --i_pt) {
            uint el_table_idx = el_table(1)(i_pt);
            for (uint i_q=row_begin; i_q<row_end; ++i_q)
                op_results(i_q)(i_pt) = op_results(i_q)(el_table_idx);
        }
    }
};
 
/// Defines reinit operations on bulk points.
struct bulk_reinit {
    // element operations
    template<unsigned int dim>
    static inline void elop_jac(std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // result matrix(spacedim, dim), input matrix(spacedim, dim+1)
        auto &op = operations[FeBulk::BulkOps::opJac];
        auto &jac_value = op.result_matrix();
        const auto &coords_value = operations[ op.input_ops()[0] ].result_matrix();
        for (unsigned int i=0; i<3; i++)
            for (unsigned int j=0; j<dim; j++)
                jac_value(i,j) = coords_value(i,j+1) - coords_value(i,0);
    }
    template<unsigned int dim>
    static inline void elop_inv_jac(std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // result matrix(spacedim, dim), input matrix(spacedim, dim+1)
        auto &op = operations[FeBulk::BulkOps::opInvJac];
        auto &inv_jac_value = op.result_matrix();
        const auto &jac_value = operations[ op.input_ops()[0] ].result_matrix();
        inv_jac_value = eigen_arena_tools::inverse<3, dim>(jac_value);
    }
    template<unsigned int dim>
    static inline void elop_jac_det(std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // result double, input matrix(spacedim, dim)
        auto &op = operations[FeBulk::BulkOps::opJacDet];
        auto &jac_det_value = op.result_matrix();
        const auto &jac_value = operations[ op.input_ops()[0] ].result_matrix();
        jac_det_value(0,0) = eigen_arena_tools::determinant<3, dim>(jac_value).abs();
    }
 
    // point operations
    static inline void ptop_coords(FMT_UNUSED std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // Implement
    }
    static inline void ptop_weights(std::vector<ElOp<3>> &operations, AssemblyArena &arena, const std::vector<double> &point_weights) {
        auto &op = operations[FeBulk::BulkOps::opWeights];
        op.allocate_result(point_weights.size(), arena);
        auto &weights_value = op.result_matrix();
        for (uint i=0; i<point_weights.size(); ++i)
            weights_value(0,0)(i) = point_weights[i];
    }
    static inline void ptop_JxW(std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        auto &op = operations[FeBulk::BulkOps::opJxW];
        auto &weights_value = operations[ op.input_ops()[0] ].result_matrix();
        auto &jac_det_value = operations[ op.input_ops()[1] ].result_matrix();
        ArenaOVec<double> weights_ovec( weights_value(0,0) );
        ArenaOVec<double> jac_det_ovec( jac_det_value(0,0) );
        std::cout << "ptop_JxW " << weights_ovec.data_size() << "x" << jac_det_ovec.data_size() << std::endl;
        ArenaOVec<double> jxw_ovec = weights_ovec * jac_det_ovec;
        auto &jxw_value = op.result_matrix();
        jxw_value(0,0) = jxw_ovec.get_vec();
    }
    static inline void ptop_scalar_shape(std::vector<ElOp<3>> &operations, TableDbl &op_results,
            std::vector< std::vector<double> > shape_values, uint scalar_shape_op_idx) {
        auto &op = operations[scalar_shape_op_idx];
        uint n_points = shape_values.size();
 
        for (uint i_row=0; i_row<shape_values[0].size(); ++i_row) {
            ArrayDbl &result_row = op_results( op.result_row()+i_row );
            for (uint i_pt=0; i_pt<result_row.rows(); ++i_pt)
                result_row(i_pt) = shape_values[i_pt % n_points][i_row];
        }
    }
    template<unsigned int dim>
    static inline void ptop_scalar_shape_grads(std::vector<ElOp<3>> &operations, TableDbl &op_results,
            std::vector< std::vector<arma::mat> > ref_shape_grads, uint scalar_shape_grads_op_idx) {
        auto &op = operations[scalar_shape_grads_op_idx];
        uint n_points = ref_shape_grads.size();
        uint n_dofs = ref_shape_grads[0].size();
 
        Eigen::Vector<ArrayDbl, Eigen::Dynamic> ref_shape_grads_expd;
        ref_shape_grads_expd.resize(dim*n_dofs);
        for (uint i=0; i<ref_shape_grads_expd.rows(); ++i)
            ref_shape_grads_expd(i).resize(op_results(0).rows());
 
        for (uint i_dof=0; i_dof<n_dofs; ++i_dof)
            for (uint i_c=0; i_c<dim; ++i_c) {
                ArrayDbl &shape_grad_row = ref_shape_grads_expd(i_dof*dim+i_c);
                for (uint i_pt=0; i_pt<shape_grad_row.rows(); ++i_pt)
                    shape_grad_row(i_pt) = ref_shape_grads[i_pt % n_points][i_dof][i_c];
            }
 
        auto inv_jac_value = operations[ op.input_ops()[0] ].value<dim, 3>(op_results);
        for (uint i_dof=0; i_dof<n_dofs; ++i_dof) {
            auto shape_grad_value = op.value<3, 1>(op_results, i_dof);
            Eigen::Map<Eigen::Matrix<ArrayDbl, dim, 1>> ref_shape_grads_dof_value(ref_shape_grads_expd.data() + dim*i_dof, dim, 1);
            shape_grad_value = inv_jac_value.transpose() * ref_shape_grads_dof_value;
        }
    }
};
 
 
 
/// Defines reinit operations on side points.
struct side_reinit {
    // element operations
    template<unsigned int dim>
    static inline void elop_el_jac(std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // result matrix(spacedim, dim), input matrix(spacedim, dim+1)
        auto &op = operations[FeSide::SideOps::opElJac];
        auto jac_value = op.value<3, dim>(op_results);
        auto coords_value = operations[ op.input_ops()[0] ].value<3, dim+1>(op_results);
        jac_value = eigen_tools::jacobian<3,dim>(coords_value);
    }
    template<unsigned int dim>
    static inline void elop_el_inv_jac(std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opElInvJac];
        auto inv_jac_value = op.value<dim, 3>(op_results);
        auto jac_value = operations[ op.input_ops()[0] ].value<3, dim>(op_results);
        inv_jac_value = eigen_tools::inverse<3, dim>(jac_value);
    }
    template<unsigned int dim>
    static inline void elop_sd_jac(std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // result matrix(spacedim, dim), input matrix(spacedim, dim+1)
        auto &op = operations[FeSide::SideOps::opSideJac];
        auto jac_value = op.value<3, dim-1>(op_results);
        auto coords_value = operations[ op.input_ops()[0] ].value<3, dim>(op_results);
        jac_value = eigen_tools::jacobian<3, dim-1>(coords_value);
    }
    template<unsigned int dim>
    static inline void elop_sd_jac_det(std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // result double, input matrix(spacedim, dim)
        auto &op = operations[FeSide::SideOps::opSideJacDet];
        ArrayDbl &det_value = op_results( op.result_row() );
        auto jac_value = operations[ op.input_ops()[0] ].value<3, dim-1>(op_results);
        det_value = eigen_tools::determinant<3, dim-1>(jac_value).array().abs();
    }
 
    // expansion operations
    static inline void expd_el_coords(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opExpansionElCoords];
        common_reinit::expand_data(op, op_results, el_table);
    }
    static inline void expd_el_jac(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opExpansionElJac];
        common_reinit::expand_data(op, op_results, el_table);
    }
    static inline void expd_el_inv_jac(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opExpansionElInvJac];
        common_reinit::expand_data(op, op_results, el_table);
    }
 
    static inline void expd_sd_coords(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opExpansionSideCoords];
        common_reinit::expand_data(op, op_results, el_table);
    }
    template<unsigned int dim>
    static inline void expd_sd_jac(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opExpansionSideJac];
        common_reinit::expand_data(op, op_results, el_table);
    }
    static inline void expd_sd_jac_det(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opExpansionSideJacDet];
        common_reinit::expand_data(op, op_results, el_table);
    }
 
    // Point operations
    static inline void ptop_coords(FMT_UNUSED std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        // Implement
    }
    static inline void ptop_weights(std::vector<ElOp<3>> &operations, TableDbl &op_results, std::vector<double> point_weights) {
        auto &op = operations[FeSide::SideOps::opWeights];
        ArrayDbl &result_row = op_results( op.result_row() );
        auto n_points = point_weights.size();
        for (uint i=0; i<result_row.rows(); ++i)
            result_row(i) = point_weights[i%n_points];
    }
    static inline void ptop_JxW(std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opJxW];
        ArrayDbl &weights_row = op_results( operations[op.input_ops()[0]].result_row() );
        ArrayDbl &jac_det_row = op_results( operations[op.input_ops()[1]].result_row() );
        ArrayDbl &result_row = op_results( op.result_row() );
        result_row = jac_det_row * weights_row;
    }
    template<unsigned int dim>
    static inline void ptop_normal_vec(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table) {
        auto &op = operations[FeSide::SideOps::opNormalVec];
        auto normal_value = op.value<3, 1>(op_results);
        auto inv_jac_mat_value = operations[ op.input_ops()[0] ].value<dim, 3>(op_results);
        normal_value = inv_jac_mat_value.transpose() * RefElement<dim>::normal_vector_array( el_table(3) );
 
        ArrayDbl norm_vec;
        norm_vec.resize(normal_value(0).rows());
        Eigen::VectorXd A(3);
 
        for (uint i=0; i<normal_value(0).rows(); ++i) {
            A(0) = normal_value(0)(i);
            A(1) = normal_value(1)(i);
            A(2) = normal_value(2)(i);
            norm_vec(i) = A.norm();
        }
        for (uint i=0; i<3; ++i) {
            normal_value(i) /= norm_vec;
        }
    }
    static inline void ptop_scalar_shape(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table,
            std::vector< std::vector< std::vector<double> > > shape_values, uint scalar_shape_op_idx) {
        auto &op = operations[scalar_shape_op_idx];
        uint n_points = shape_values[0].size();
 
        for (uint i_row=0; i_row<shape_values[0][0].size(); ++i_row) {
            ArrayDbl &result_row = op_results( op.result_row()+i_row );
            for (uint i_pt=0; i_pt<result_row.rows(); ++i_pt)
                result_row(i_pt) = shape_values[el_table(3)(i_pt)][i_pt % n_points][i_row];
        }
    }
    template<unsigned int dim>
    static inline void ptop_scalar_shape_grads(std::vector<ElOp<3>> &operations, TableDbl &op_results, TableInt &el_table,
            std::vector< std::vector< std::vector<arma::mat> > > ref_shape_grads, uint scalar_shape_grads_op_idx) {
        auto &op = operations[scalar_shape_grads_op_idx];
        uint n_points = ref_shape_grads[0].size();
        uint n_dofs = ref_shape_grads[0][0].size();
 
        Eigen::Vector<ArrayDbl, Eigen::Dynamic> ref_shape_grads_expd;
        ref_shape_grads_expd.resize(dim*n_dofs);
        for (uint i=0; i<ref_shape_grads_expd.rows(); ++i)
            ref_shape_grads_expd(i).resize(op_results(0).rows());
 
        for (uint i_dof=0; i_dof<n_dofs; ++i_dof)
            for (uint i_c=0; i_c<dim; ++i_c) {
                ArrayDbl &shape_grad_row = ref_shape_grads_expd(i_dof*dim+i_c);
                for (uint i_pt=0; i_pt<shape_grad_row.rows(); ++i_pt)
                    shape_grad_row(i_pt) = ref_shape_grads[el_table(3)(i_pt)][i_pt % n_points][i_dof][i_c];
            }
 
        auto inv_jac_value = operations[ op.input_ops()[0] ].value<dim, 3>(op_results);
        for (uint i_dof=0; i_dof<n_dofs; ++i_dof) {
            auto shape_grad_value = op.value<3, 1>(op_results, i_dof);
            Eigen::Map<Eigen::Matrix<ArrayDbl, dim, 1>> ref_shape_grads_dof_value(ref_shape_grads_expd.data() + dim*i_dof, dim, 1);
            shape_grad_value = inv_jac_value.transpose() * ref_shape_grads_dof_value;
        }
    }
};
 
 
// template specialization
template<>
inline void side_reinit::elop_sd_jac<1>(FMT_UNUSED std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
}
 
template<>
inline void side_reinit::elop_sd_jac_det<1>(std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
    auto &op = operations[FeSide::SideOps::opSideJacDet];
    ArrayDbl &result_vec = op_results( op.result_row() );
    for (uint i=0;i<result_vec.size(); ++i) {
        result_vec(i) = 1.0;
    }
}
 
template<>
inline void side_reinit::expd_sd_jac<1>(FMT_UNUSED std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
}
 
 
 
namespace FeBulk {
 
    /// Bulk data specialization, order of item in operations_ vector corresponds to the BulkOps enum
    template<unsigned int spacedim = 3>
    class PatchPointValues : public ::PatchPointValues<spacedim> {
    public:
        /// Constructor
        PatchPointValues(uint dim, uint quad_order, AssemblyArena &patch_arena)
        : ::PatchPointValues<spacedim>(dim, patch_arena) {
            this->quad_ = new QGauss(dim, 2*quad_order);
            switch (dim) {
            case 1:
                init<1>();
                break;
            case 2:
                init<2>();
                break;
            case 3:
                init<3>();
                break;
            }
        }
 
    private:
        /// Initialize operations vector
        template<unsigned int dim>
        void init() {
            // First step: adds element values operations
            /*auto &el_coords =*/ this->make_new_op( {spacedim, this->dim_+1}, &common_reinit::op_base, {}, OpSizeType::elemOp );
 
            /*auto &el_jac =*/ this->make_new_op( {spacedim, this->dim_}, &bulk_reinit::elop_jac<dim>, {BulkOps::opElCoords}, OpSizeType::elemOp );
 
            /*auto &el_inv_jac =*/ this->make_new_op( {this->dim_, spacedim}, &bulk_reinit::elop_inv_jac<dim>, {BulkOps::opJac}, OpSizeType::elemOp );
 
            /*auto &el_jac_det =*/ this->make_new_op( {1}, &bulk_reinit::elop_jac_det<dim>, {BulkOps::opJac}, OpSizeType::elemOp );
 
            // Second step: adds point values operations
            /*auto &pt_coords =*/ this->make_new_op( {spacedim}, &bulk_reinit::ptop_coords, {} );
 
            // use lambda reinit function
            const std::vector<double> &point_weights_vec = this->quad_->get_weights();
            auto lambda_weights = [this, point_weights_vec](std::vector<ElOp<3>> &operations, FMT_UNUSED TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
                    bulk_reinit::ptop_weights(operations, this->patch_arena_, point_weights_vec);
                };
            /*auto &weights =*/ this->make_fixed_op( {1}, lambda_weights );
 
            /*auto &JxW =*/ this->make_new_op( {1}, &bulk_reinit::ptop_JxW, {BulkOps::opWeights, BulkOps::opJacDet} );
        }
    };
 
} // closing namespace FeBulk
 
 
 
namespace FeSide {
 
/// Bulk Side specialization, order of item in operations_ vector corresponds to the SideOps enum
    template<unsigned int spacedim = 3>
    class PatchPointValues : public ::PatchPointValues<spacedim> {
    public:
        /// Constructor
        PatchPointValues(uint dim, uint quad_order, AssemblyArena &patch_arena)
        : ::PatchPointValues<spacedim>(dim, patch_arena) {
            this->quad_ = new QGauss(dim-1, 2*quad_order);
            switch (dim) {
            case 1:
                init<1>();
                break;
            case 2:
                init<2>();
                break;
            case 3:
                init<3>();
                break;
            }
        }
 
    private:
        /// Initialize operations vector
        template<unsigned int dim>
        void init() {
            // First step: adds element values operations
            auto &el_coords = this->make_new_op( {spacedim, this->dim_+1}, &common_reinit::op_base, {} );
 
            auto &el_jac = this->make_new_op( {spacedim, this->dim_}, &side_reinit::elop_el_jac<dim>, {SideOps::opElCoords} );
 
            auto &el_inv_jac = this->make_new_op( {this->dim_, spacedim}, &side_reinit::elop_el_inv_jac<dim>, {SideOps::opElJac} );
 
            auto &sd_coords = this->make_new_op( {spacedim, this->dim_}, &common_reinit::op_base, {} );
 
            auto &sd_jac = this->make_new_op( {spacedim, this->dim_-1}, &side_reinit::elop_sd_jac<dim>, {SideOps::opSideCoords} );
 
            auto &sd_jac_det = this->make_new_op( {1}, &side_reinit::elop_sd_jac_det<dim>, {SideOps::opSideJac} );
 
            // Second step: adds expand operations (element values to point values)
            this->make_expansion( el_coords, {spacedim, this->dim_+1}, &side_reinit::expd_el_coords );
 
            this->make_expansion( el_jac, {spacedim, this->dim_}, &side_reinit::expd_el_jac );
 
            this->make_expansion( el_inv_jac, {this->dim_, spacedim}, &side_reinit::expd_el_inv_jac );
 
            this->make_expansion( sd_coords, {spacedim, this->dim_}, &side_reinit::expd_sd_coords );
 
            this->make_expansion( sd_jac, {spacedim, this->dim_-1}, &side_reinit::expd_sd_jac<dim> );
 
            this->make_expansion( sd_jac_det, {1}, &side_reinit::expd_sd_jac_det );
 
            // Third step: adds point values operations
            /*auto &coords =*/ this->make_new_op( {spacedim}, &side_reinit::ptop_coords, {} );
 
            // use lambda reinit function
            std::vector<double> point_weights = this->quad_->get_weights();
            auto lambda_weights = [point_weights](std::vector<ElOp<3>> &operations, TableDbl &op_results, FMT_UNUSED TableInt &el_table) {
                    side_reinit::ptop_weights(operations, op_results, point_weights);
                };
            /*auto &weights =*/ this->make_new_op( {1}, lambda_weights, {} );
 
            /*auto &JxW =*/ this->make_new_op( {1}, &side_reinit::ptop_JxW, {SideOps::opWeights, SideOps::opSideJacDet} );
 
            /*auto &normal_vec =*/ this->make_new_op( {spacedim}, &side_reinit::ptop_normal_vec<dim>, {SideOps::opElInvJac} );
        }
    };
 
} // closing namespace FeSide
 
 
 
#endif /* PATCH_POINT_VALUES_HH_ */