rm lu

Signed-off-by: Lev Nachmanson <levnach@hotmail.com>

src/math/lp/lp_core_solver_base.cpp

@@ -61,7 +61,6 @@ template lp::lp_core_solver_base<lp::mpq, lp::numeric_pair<lp::mpq> >::lp_core_s
                                                                                                    const vector<lp::numeric_pair<lp::mpq> >&,
                                                                                                    const vector<lp::numeric_pair<lp::mpq> >&);
 template bool lp::lp_core_solver_base<lp::mpq, lp::numeric_pair<lp::mpq> >::print_statistics_with_cost_and_check_that_the_time_is_over(lp::numeric_pair<lp::mpq>, std::ostream&);
-template void lp::lp_core_solver_base<lp::mpq, lp::numeric_pair<lp::mpq> >::snap_xN_to_bounds_and_fill_xB();
 template void lp::lp_core_solver_base<lp::mpq, lp::numeric_pair<lp::mpq> >::solve_Ax_eq_b();
 
 template void lp::lp_core_solver_base<lp::mpq, lp::numeric_pair<lp::mpq> >::add_delta_to_entering(unsigned int, const lp::numeric_pair<lp::mpq>&);

src/math/lp/lp_core_solver_base.h

@@ -74,7 +74,7 @@ class lp_core_solver_base {
     vector<X> &           m_x; // a feasible solution, the fist time set in the constructor
     vector<T> &           m_costs;
     lp_settings &         m_settings;
-    lu<static_matrix<T, X>> * m_factorization = nullptr;
+
     vector<T>             m_y; // the buffer for yB = cb
     // a device that is able to solve Bx=c, xB=d, and change the basis
     const column_namer &  m_column_names;
@@ -134,7 +134,7 @@ class lp_core_solver_base {
     void init();
 
     virtual ~lp_core_solver_base() {
-        delete m_factorization;
+
     }
 
     vector<unsigned> & non_basis() {
@@ -413,9 +413,6 @@ class lp_core_solver_base {
     }
 
 
-    void snap_non_basic_x_to_bound_and_free_to_zeroes();
-    void snap_xN_to_bounds_and_fill_xB();
-
 
     non_basic_column_value_position get_non_basic_column_value_position(unsigned j) const;
 

src/math/lp/lp_core_solver_base_def.h

@@ -554,52 +554,8 @@ find_error_in_BxB(vector<X>& rs){
 // recalculates the projection of x to B, such that Ax = b
 template <typename T, typename X> void lp_core_solver_base<T, X>::
 solve_Ax_eq_b() {
-    if (numeric_traits<X>::precise()) {
-        vector<X> rs(m_m());
-        rs_minus_Anx(rs);
-        m_factorization->solve_By(rs);
-        copy_rs_to_xB(rs);
-    } 
-    else {
-        vector<X> rs(m_m());
-        rs_minus_Anx(rs);
-        vector<X> rrs = rs; // another copy of rs
-        m_factorization->solve_By(rs);
-        copy_rs_to_xB(rs);
-        find_error_in_BxB(rrs);
-        m_factorization->solve_By(rrs);
-        add_delta_to_xB(rrs);
-    }
-}
-
-
-
-
-template <typename T, typename X> void lp_core_solver_base<T, X>::
-snap_non_basic_x_to_bound_and_free_to_zeroes() {
-    for (unsigned j : non_basis()) {
-        lp_assert(j < m_x.size());
-        switch (m_column_types[j]) {
-        case column_type::fixed:
-        case column_type::boxed:
-        case column_type::lower_bound:
-            m_x[j] = m_lower_bounds[j];
-            break;
-        case column_type::upper_bound:
-            m_x[j] = m_upper_bounds[j];
-            break;
-        default:
-            m_x[j] = zero_of_type<X>();
-            break;
-        }
-    }
+    lp_assert(false);
 }
-template <typename T, typename X> void lp_core_solver_base<T, X>::
-snap_xN_to_bounds_and_fill_xB() {
-    snap_non_basic_x_to_bound();
-    solve_Ax_eq_b();
-}
-
 
 
 template <typename T, typename X> non_basic_column_value_position lp_core_solver_base<T, X>::

src/math/lp/lp_primal_core_solver_def.h

@@ -642,11 +642,7 @@ template <typename T, typename X>    void lp_primal_core_solver<T, X>::init_run(
 
 
 template <typename T, typename X>    void lp_primal_core_solver<T, X>::calc_working_vector_beta_for_column_norms(){
-    lp_assert(numeric_traits<T>::precise() == false);
-    lp_assert(this->m_ed.is_OK());
-    lp_assert(m_beta.is_OK());
-    m_beta = this->m_ed;
-    this->m_factorization->solve_yB_with_error_check_indexed(m_beta, this->m_basis_heading, this->m_basis, this->m_settings);
+    lp_assert(false);
 }
 
 template <typename T, typename X>
@@ -758,10 +754,7 @@ template <typename T, typename X> unsigned lp_primal_core_solver<T, X>::solve()
 }
 
 template <typename T, typename X>    void lp_primal_core_solver<T, X>::delete_factorization() {
-    if (this->m_factorization != nullptr) {
-        delete this->m_factorization;
-        this->m_factorization = nullptr;
-    }
+    lp_assert(false);
 }
 
 // according to Swietanowski, " A new steepest edge approximation for the simplex method for linear programming"
@@ -776,15 +769,7 @@ template <typename T, typename X> void lp_primal_core_solver<T, X>::init_column_
 
 // debug only
 template <typename T, typename X> T lp_primal_core_solver<T, X>::calculate_column_norm_exactly(unsigned j) {
-    lp_assert(numeric_traits<T>::precise() == false);
-    indexed_vector<T> w(this->m_m());
-    this->m_A.copy_column_to_vector(j, w);
-    vector<T> d(this->m_m());
-    this->m_factorization->solve_Bd_when_w_is_ready(d, w);
-    T ret = zero_of_type<T>();
-    for (auto v : d)
-        ret += v*v;
-    return ret+1;
+    lp_assert(false);
 }
 
 template <typename T, typename X>    void lp_primal_core_solver<T, X>::update_or_init_column_norms(unsigned entering, unsigned leaving) {