casadi_mtimes.hpp

//
//    MIT No Attribution
//
//    Copyright (C) 2010-2023 Joel Andersson, Joris Gillis, Moritz Diehl, KU Leuven.
//
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// SYMBOL "mtimes"
template<typename T1>
void casadi_mtimes(const T1* x, const casadi_int* sp_x, const T1* y, const casadi_int* sp_y, T1* z, const casadi_int* sp_z, T1* w, casadi_int tr) { // NOLINT(whitespace/line_length)
  casadi_int ncol_x, ncol_y, ncol_z, cc;
  const casadi_int *colind_x, *row_x, *colind_y, *row_y, *colind_z, *row_z;
 
  // Get sparsities
  ncol_x = sp_x[1];
  colind_x = sp_x+2; row_x = sp_x + 2 + ncol_x+1;
  ncol_y = sp_y[1];
  colind_y = sp_y+2; row_y = sp_y + 2 + ncol_y+1;
  ncol_z = sp_z[1];
  colind_z = sp_z+2; row_z = sp_z + 2 + ncol_z+1;
 
  if (tr) {
    // Loop over the columns of y and z
    for (cc=0; cc<ncol_z; ++cc) {
      casadi_int kk;
      // Get the dense column of y
      for (kk=colind_y[cc]; kk<colind_y[cc+1]; ++kk) {
        w[row_y[kk]] = y[kk];
      }
      // Loop over the nonzeros of z
      for (kk=colind_z[cc]; kk<colind_z[cc+1]; ++kk) {
        casadi_int kk1;
        casadi_int rr = row_z[kk];
        // Loop over corresponding columns of x
        for (kk1=colind_x[rr]; kk1<colind_x[rr+1]; ++kk1) {
          z[kk] += x[kk1] * w[row_x[kk1]];
        }
      }
    }
  } else {
    // Loop over the columns of y and z
    for (cc=0; cc<ncol_y; ++cc) {
      casadi_int kk;
      // Get the dense column of z
      for (kk=colind_z[cc]; kk<colind_z[cc+1]; ++kk) {
        w[row_z[kk]] = z[kk];
      }
      // Loop over the nonzeros of y
      for (kk=colind_y[cc]; kk<colind_y[cc+1]; ++kk) {
        casadi_int kk1;
        casadi_int rr = row_y[kk];
        // Loop over corresponding columns of x
        for (kk1=colind_x[rr]; kk1<colind_x[rr+1]; ++kk1) {
          w[row_x[kk1]] += x[kk1]*y[kk];
        }
      }
      // Get the sparse column of z
      for (kk=colind_z[cc]; kk<colind_z[cc+1]; ++kk) {
        z[kk] = w[row_z[kk]];
      }
    }
  }
}