Module: ppl/ppl Branch: pip Commit: b8e1cbd1782c3fa553331b6199668f4bb26581b1 URL: http://www.cs.unipr.it/git/gitweb.cgi?p=ppl/ppl.git;a=commit;h=b8e1cbd1782c3...
Author: François Galea francois.galea@uvsq.fr Date: Tue Sep 15 15:09:08 2009 +0200
Implemented simplex pivot on rational matrices.
---
src/PIP_Tree.cc | 111 +++++++++++++++++++++++++++++++++++++++++++++++++- src/PIP_Tree.defs.hh | 3 + 2 files changed, 112 insertions(+), 2 deletions(-)
diff --git a/src/PIP_Tree.cc b/src/PIP_Tree.cc index 173d39f..c9f576a 100644 --- a/src/PIP_Tree.cc +++ b/src/PIP_Tree.cc @@ -253,6 +253,16 @@ PIP_Solution_Node::Rational_Matrix::normalize() { }
void +PIP_Solution_Node::Rational_Matrix::scale(const Coefficient &ratio) { + dimension_type i, j; + dimension_type i_max = num_rows(); + dimension_type j_max = num_columns(); + for (i=0; i<i_max; ++i) + for (j=0; j<j_max; ++j) + rows[i][j] *= ratio; +} + +void PIP_Solution_Node::Rational_Matrix::ascii_dump(std::ostream& s) const { s << "denominator " << denominator << "\n"; Matrix::ascii_dump(s); @@ -472,6 +482,7 @@ PIP_Solution_Node::solve(PIP_Tree_Node** parent_ref, Matrix context(ctx); merge_assign(context, constraints_); const dimension_type n_a_d = not_a_dimension(); + Coefficient gcd;
// Main loop of the simplex algorithm for(;;) { @@ -539,7 +550,7 @@ PIP_Solution_Node::solve(PIP_Tree_Node** parent_ref, std::cout << "Found row with negative parameters: " << i_ << std::endl; #endif - dimension_type j; + dimension_type j, k; Coefficient z(0); Coefficient sij, cij, cij_; Coefficient c; @@ -590,11 +601,107 @@ PIP_Solution_Node::solve(PIP_Tree_Node** parent_ref, << std::endl; #endif
+ /* ** Perform pivot operation ** */ + + /* Check if column j_ or row i_ correspond to a problem variable */ + dimension_type var_j = n_a_d; + dimension_type var_i = n_a_d; + for (j=0; j<num_vars; ++j) { + if (basis[j]) { + if (mapping[j] == j_) + var_j = j; + } else { + if (mapping[j] == i_) + var_i = j; + } + } + /* update basis */ + if (var_j != n_a_d) { + basis[var_j] = false; + mapping[var_j] = i_; + } + if (var_i != n_a_d) { + basis[var_i] = true; + mapping[var_i] = j_; + } + + /* create the identity matrix row corresponding to basic variable j_ */ + Row prs(num_vars, tableau.s.capacity(), Row::Flags()); + Row prt(num_params, tableau.t.capacity(), Row::Flags()); + prs[j_] = tableau.s.get_denominator(); + /* swap it with pivot row which would become identity after pivoting */ + prs.swap(tableau.s[i_]); + prt.swap(tableau.t[i_]); + sign[i_] = ZERO; + for (j=0; j<num_vars; ++j) { + if (j==j_) + continue; + for (k=0; k<num_rows; ++k) { + Coefficient mult = prs[j] * tableau.s[k][j_]; + if (mult % sij != 0) { + // Must scale matrix to stay in integer case + gcd_assign(gcd, mult, sij); + Coefficient scale_factor = sij/gcd; + tableau.s.scale(scale_factor); + mult *= scale_factor; + } + tableau.s[k][j] -= mult / sij; + } + } + + /* create the identity matrix row corresponding to basic variable j_ */ + for (j=0; j<num_params; ++j) { + for (k=0; k<num_rows; ++k) { + Coefficient c = prt[j] * tableau.s[k][j_]; + if (c % sij != 0) { + // Must scale matrix to stay in integer case + gcd_assign(gcd, c, sij); + Coefficient scale_factor = sij/gcd; + tableau.t.scale(scale_factor); + c *= scale_factor; + } + c /= sij; + tableau.t[k][j] -= c; + + s = sign[k]; + if (s != MIXED) { + switch (s) { + case ZERO: + if (c > 0) + sign[k] = NEGATIVE; + else if (c < 0) + sign[k] = POSITIVE; + break; + case POSITIVE: + if (c > 0) + sign[k] = MIXED; + break; + case NEGATIVE: + if (c < 0) + sign[k] = MIXED; + break; + default: + break; + } + } + } + } + + for (k=0; k<num_rows; ++k) { + Coefficient &c = tableau.s[k][j_]; + if (c % sij != 0) { + Coefficient gcd; + gcd_assign(gcd, c, sij); + Coefficient scale_factor = sij/gcd; + tableau.s.scale(scale_factor); + } + c /= sij; + } } + //FIXME: to be finished
} // Main loop of the simplex algorithm
- //FIXME return OPTIMIZED_PIP_PROBLEM; }
diff --git a/src/PIP_Tree.defs.hh b/src/PIP_Tree.defs.hh index c8b2a16..e88aa0f 100644 --- a/src/PIP_Tree.defs.hh +++ b/src/PIP_Tree.defs.hh @@ -180,6 +180,9 @@ private: //! Copy constructor. Rational_Matrix(const Rational_Matrix& y);
+ //! Multiplies all coefficients and denominator with ratio. + void scale(const Coefficient &ratio); + //! Normalizes the modulo of coefficients so that they are mutually prime. /*! Computes the Greatest Common Divisor (GCD) among the elements of