mirror of
https://github.com/Z3Prover/z3
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rename int_set to u_set
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
This commit is contained in:
parent
bc5b68b16e
commit
ea964e5c3b
12 changed files with 61 additions and 61 deletions
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@ -23,7 +23,7 @@
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#include "math/lp/nla_intervals.h"
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#include "math/lp/nex.h"
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#include "math/lp/cross_nested.h"
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#include "math/lp/int_set.h"
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#include "math/lp/u_set.h"
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namespace nla {
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class core;
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@ -20,7 +20,7 @@ Revision History:
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#pragma once
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#include "math/lp/lp_settings.h"
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#include "math/lp/static_matrix.h"
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#include "math/lp/int_set.h"
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#include "math/lp/u_set.h"
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#include "math/lp/lar_term.h"
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#include "math/lp/lar_constraints.h"
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#include "math/lp/hnf_cutter.h"
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@ -96,7 +96,7 @@ public:
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};
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class constraint_set {
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class constrau_set {
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region m_region;
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column_namer& m_namer;
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vector<lar_base_constraint*> m_constraints;
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@ -139,10 +139,10 @@ class constraint_set {
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}
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public:
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constraint_set(column_namer& cn):
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constrau_set(column_namer& cn):
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m_namer(cn) {}
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~constraint_set() {
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~constrau_set() {
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for (auto* c : m_constraints)
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c->~lar_base_constraint();
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}
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@ -198,15 +198,15 @@ public:
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bool valid_index(constraint_index ci) const { return ci < m_constraints.size(); }
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class active_constraints {
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friend class constraint_set;
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constraint_set const& cs;
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friend class constrau_set;
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constrau_set const& cs;
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public:
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active_constraints(constraint_set const& cs): cs(cs) {}
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active_constraints(constrau_set const& cs): cs(cs) {}
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class iterator {
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friend class constraint_set;
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constraint_set const& cs;
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friend class constrau_set;
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constrau_set const& cs;
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unsigned m_index;
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iterator(constraint_set const& cs, unsigned idx): cs(cs), m_index(idx) { forward(); }
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iterator(constrau_set const& cs, unsigned idx): cs(cs), m_index(idx) { forward(); }
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void next() { ++m_index; forward(); }
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void forward() { for (; m_index < cs.m_constraints.size() && !cs.is_active(m_index); m_index++) ; }
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public:
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@ -224,15 +224,15 @@ public:
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active_constraints active() const { return active_constraints(*this); }
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class active_indices {
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friend class constraint_set;
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constraint_set const& cs;
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friend class constrau_set;
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constrau_set const& cs;
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public:
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active_indices(constraint_set const& cs): cs(cs) {}
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active_indices(constrau_set const& cs): cs(cs) {}
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class iterator {
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friend class constraint_set;
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constraint_set const& cs;
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friend class constrau_set;
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constrau_set const& cs;
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unsigned m_index;
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iterator(constraint_set const& cs, unsigned idx): cs(cs), m_index(idx) { forward(); }
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iterator(constrau_set const& cs, unsigned idx): cs(cs), m_index(idx) { forward(); }
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void next() { ++m_index; forward(); }
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void forward() { for (; m_index < cs.m_constraints.size() && !cs.is_active(m_index); m_index++) ; }
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public:
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@ -288,7 +288,7 @@ public:
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};
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inline std::ostream& operator<<(std::ostream& out, constraint_set const& cs) {
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inline std::ostream& operator<<(std::ostream& out, constrau_set const& cs) {
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return cs.display(out);
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}
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@ -324,7 +324,7 @@ void lar_solver::push() {
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m_constraints.push();
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}
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void lar_solver::clean_popped_elements(unsigned n, int_set& set) {
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void lar_solver::clean_popped_elements(unsigned n, u_set& set) {
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vector<int> to_remove;
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for (unsigned j: set)
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if (j >= n)
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@ -333,7 +333,7 @@ void lar_solver::clean_popped_elements(unsigned n, int_set& set) {
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set.erase(j);
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}
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void lar_solver::shrink_inf_set_after_pop(unsigned n, int_set & set) {
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void lar_solver::shrink_inf_set_after_pop(unsigned n, u_set & set) {
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clean_popped_elements(n, set);
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set.resize(n);
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}
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@ -93,14 +93,14 @@ public:
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var_register m_var_register;
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var_register m_term_register;
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stacked_vector<ul_pair> m_columns_to_ul_pairs;
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constraint_set m_constraints;
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constrau_set m_constraints;
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// the set of column indices j such that bounds have changed for j
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int_set m_columns_with_changed_bound;
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int_set m_rows_with_changed_bounds;
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int_set m_basic_columns_with_changed_cost;
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u_set m_columns_with_changed_bound;
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u_set m_rows_with_changed_bounds;
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u_set m_basic_columns_with_changed_cost;
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// these are basic columns with the value changed, so the the corresponding row in the tableau
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// does not sum to zero anymore
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int_set m_incorrect_columns;
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u_set m_incorrect_columns;
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stacked_value<int> m_crossed_bounds_column_index; // such can be found at the initialization step
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stacked_value<unsigned> m_term_count;
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vector<lar_term*> m_terms;
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@ -111,7 +111,7 @@ public:
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const vector<lar_term*> & terms() const { return m_terms; }
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lar_term const& term(unsigned i) const { return *m_terms[i]; }
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constraint_set const& constraints() const { return m_constraints; }
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constrau_set const& constraints() const { return m_constraints; }
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void set_int_solver(int_solver * int_slv) { m_int_solver = int_slv; }
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int_solver * get_int_solver() { return m_int_solver; }
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@ -333,9 +333,9 @@ public:
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vector<unsigned> get_list_of_all_var_indices() const;
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void push();
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static void clean_popped_elements(unsigned n, int_set& set);
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static void clean_popped_elements(unsigned n, u_set& set);
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static void shrink_inf_set_after_pop(unsigned n, int_set & set);
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static void shrink_inf_set_after_pop(unsigned n, u_set & set);
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void pop(unsigned k);
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@ -51,7 +51,7 @@ public:
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return m_inf_set.size() == 0;
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}
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bool current_x_is_infeasible() const { return m_inf_set.size() != 0; }
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int_set m_inf_set;
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u_set m_inf_set;
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bool m_using_infeas_costs;
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vector<T> m_steepest_edge_coefficients;
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vector<unsigned> m_trace_of_basis_change_vector; // the even positions are entering, the odd positions are leaving
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bool m_tracing_basis_changes;
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int_set* m_pivoted_rows;
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u_set* m_pivoted_rows;
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bool m_look_for_feasible_solution_only;
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void start_tracing_basis_changes() {
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@ -39,7 +39,7 @@ public:
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T m_theta_P;
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int m_q;
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// todo : replace by a vector later
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std::set<unsigned> m_breakpoint_set; // it is F in "Progress in the dual simplex method ..."
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std::set<unsigned> m_breakpou_set; // it is F in "Progress in the dual simplex method ..."
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std::set<unsigned> m_flipped_boxed;
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std::set<unsigned> m_tight_set; // it is the set of all breakpoints that become tight when m_q becomes tight
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vector<T> m_a_wave;
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@ -124,7 +124,7 @@ public:
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bool can_be_breakpoint(unsigned j);
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void fill_breakpoint_set();
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void fill_breakpou_set();
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void DSE_FTran();
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T get_delta();
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bool tight_breakpoinst_are_all_boxed();
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T calculate_harris_delta_on_breakpoint_set();
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T calculate_harris_delta_on_breakpou_set();
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void fill_tight_set_on_harris_delta(const T & harris_delta );
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void find_q_and_tight_set();
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void erase_tight_breakpoints_and_q_from_breakpoint_set();
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void erase_tight_breakpoints_and_q_from_breakpou_set();
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bool ratio_test();
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}
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}
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template <typename T, typename X> void lp_dual_core_solver<T, X>::fill_breakpoint_set() {
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m_breakpoint_set.clear();
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template <typename T, typename X> void lp_dual_core_solver<T, X>::fill_breakpou_set() {
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m_breakpou_set.clear();
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for (unsigned j : this->non_basis()) {
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if (can_be_breakpoint(j)) {
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m_breakpoint_set.insert(j);
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m_breakpou_set.insert(j);
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}
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}
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}
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return true;
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}
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template <typename T, typename X> T lp_dual_core_solver<T, X>::calculate_harris_delta_on_breakpoint_set() {
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template <typename T, typename X> T lp_dual_core_solver<T, X>::calculate_harris_delta_on_breakpou_set() {
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bool first_time = true;
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T ret = zero_of_type<T>();
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lp_assert(m_breakpoint_set.size() > 0);
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for (auto j : m_breakpoint_set) {
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lp_assert(m_breakpou_set.size() > 0);
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for (auto j : m_breakpou_set) {
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T t;
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if (this->x_is_at_lower_bound(j)) {
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t = abs((std::max(this->m_d[j], numeric_traits<T>::zero()) + m_harris_tolerance) / this->m_pivot_row[j]);
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template <typename T, typename X> void lp_dual_core_solver<T, X>::fill_tight_set_on_harris_delta(const T & harris_delta ){
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m_tight_set.clear();
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for (auto j : m_breakpoint_set) {
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for (auto j : m_breakpou_set) {
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if (this->x_is_at_lower_bound(j)) {
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if (abs(std::max(this->m_d[j], numeric_traits<T>::zero()) / this->m_pivot_row[j]) <= harris_delta){
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m_tight_set.insert(j);
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}
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template <typename T, typename X> void lp_dual_core_solver<T, X>::find_q_and_tight_set() {
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T harris_del = calculate_harris_delta_on_breakpoint_set();
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T harris_del = calculate_harris_delta_on_breakpou_set();
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fill_tight_set_on_harris_delta(harris_del);
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find_q_on_tight_set();
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m_entering_boundary_position = this->get_non_basic_column_value_position(m_q);
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}
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template <typename T, typename X> void lp_dual_core_solver<T, X>::erase_tight_breakpoints_and_q_from_breakpoint_set() {
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m_breakpoint_set.erase(m_q);
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template <typename T, typename X> void lp_dual_core_solver<T, X>::erase_tight_breakpoints_and_q_from_breakpou_set() {
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m_breakpou_set.erase(m_q);
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for (auto j : m_tight_set) {
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m_breakpoint_set.erase(j);
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m_breakpou_set.erase(j);
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}
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}
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template <typename T, typename X> bool lp_dual_core_solver<T, X>::ratio_test() {
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m_sign_of_alpha_r = define_sign_of_alpha_r();
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fill_breakpoint_set();
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fill_breakpou_set();
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m_flipped_boxed.clear();
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int initial_delta_sign = m_delta >= numeric_traits<T>::zero()? 1: -1;
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do {
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if (m_breakpoint_set.empty()) {
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if (m_breakpou_set.empty()) {
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set_status_to_tentative_dual_unbounded_or_dual_unbounded();
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return false;
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}
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if (!tight_breakpoinst_are_all_boxed()) break;
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T del = m_delta - delta_lost_on_flips_of_tight_breakpoints() * initial_delta_sign;
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if (!delta_keeps_the_sign(initial_delta_sign, del)) break;
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if (m_tight_set.size() + 1 == m_breakpoint_set.size()) {
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if (m_tight_set.size() + 1 == m_breakpou_set.size()) {
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break; // deciding not to flip since we might get stuck without finding m_q, the column entering the basis
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}
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// we can flip m_q together with the tight set and look for another breakpoint candidate for m_q and another tight set
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add_tight_breakpoints_and_q_to_flipped_set();
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m_delta = del;
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erase_tight_breakpoints_and_q_from_breakpoint_set();
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erase_tight_breakpoints_and_q_from_breakpou_set();
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} while (true);
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m_theta_D = this->m_d[m_q] / this->m_pivot_row[m_q];
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return true;
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@ -36,7 +36,7 @@ Revision History:
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#include "math/lp/lp_core_solver_base.h"
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#include "math/lp/breakpoint.h"
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#include "math/lp/binary_heap_priority_queue.h"
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#include "math/lp/int_set.h"
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#include "math/lp/u_set.h"
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namespace lp {
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// This core solver solves (Ax=b, lower_bound_values \leq x \leq upper_bound_values, maximize costs*x )
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T m_converted_harris_eps;
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unsigned m_inf_row_index_for_tableau;
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bool m_bland_mode_tableau;
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int_set m_left_basis_tableau;
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u_set m_left_basis_tableau;
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unsigned m_bland_mode_threshold;
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unsigned m_left_basis_repeated;
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vector<unsigned> m_leaving_candidates;
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var_eqs<emonics> m_evars;
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lp::lar_solver& m_lar_solver;
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vector<lemma> * m_lemma_vec;
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lp::int_set m_to_refine;
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lp::u_set m_to_refine;
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tangents m_tangents;
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basics m_basics;
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order m_order;
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private:
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emonics m_emons;
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svector<lpvar> m_add_buffer;
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mutable lp::int_set m_active_var_set;
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lp::int_set m_rows;
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mutable lp::u_set m_active_var_set;
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lp::u_set m_rows;
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public:
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reslimit m_reslim;
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const lp::int_set& active_var_set () const { return m_active_var_set;}
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const lp::u_set& active_var_set () const { return m_active_var_set;}
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bool active_var_set_contains(unsigned j) const { return m_active_var_set.contains(j); }
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void insert_to_active_var_set(unsigned j) const { m_active_var_set.insert(j); }
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#include "math/lp/eta_matrix.h"
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#include "math/lp/binary_heap_upair_queue.h"
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#include "math/lp/numeric_pair.h"
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#include "math/lp/int_set.h"
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#include "math/lp/u_set.h"
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namespace lp {
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// it is a square matrix
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template <typename T, typename X>
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@ -15,7 +15,7 @@ Author:
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Revision History:
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TBD use indexed_uint_set from src/util/uint_set.h,
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TBD use indexed_uu_set from src/util/uu_set.h,
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--*/
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#pragma once
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#include <ostream>
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namespace lp {
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// serves at a set of non-negative integers smaller than the set size
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class int_set {
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class u_set {
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svector<int> m_data;
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unsigned_vector m_index;
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public:
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int_set(unsigned size): m_data(size, -1) {}
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int_set() {}
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int_set(int_set const& other):
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u_set(unsigned size): m_data(size, -1) {}
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u_set() {}
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u_set(u_set const& other):
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m_data(other.m_data),
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m_index(other.m_index) {}
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