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merge LRA
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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120 changed files with 23069 additions and 15 deletions
74
src/util/lp/row_eta_matrix.h
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74
src/util/lp/row_eta_matrix.h
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/*
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Copyright (c) 2017 Microsoft Corporation
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Author: Lev Nachmanson
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*/
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#pragma once
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#include "util/vector.h"
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#include "util/debug.h"
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#include <string>
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#include "util/lp/sparse_vector.h"
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#include "util/lp/indexed_vector.h"
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#include "util/lp/permutation_matrix.h"
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namespace lean {
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// This is the sum of a unit matrix and a lower triangular matrix
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// with non-zero elements only in one row
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template <typename T, typename X>
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class row_eta_matrix
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: public tail_matrix<T, X> {
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#ifdef LEAN_DEBUG
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unsigned m_dimension;
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#endif
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unsigned m_row_start;
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unsigned m_row;
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sparse_vector<T> m_row_vector;
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public:
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#ifdef LEAN_DEBUG
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row_eta_matrix(unsigned row_start, unsigned row, unsigned dim):
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#else
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row_eta_matrix(unsigned row_start, unsigned row):
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#endif
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#ifdef LEAN_DEBUG
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m_dimension(dim),
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#endif
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m_row_start(row_start), m_row(row) {
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}
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bool is_dense() const { return false; }
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void print(std::ostream & out) {
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print_matrix(*this, out);
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}
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const T & get_diagonal_element() const {
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return m_row_vector.m_data[m_row];
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}
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void apply_from_left(vector<X> & w, lp_settings &);
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void apply_from_left_local_to_T(indexed_vector<T> & w, lp_settings & settings);
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void apply_from_left_local_to_X(indexed_vector<X> & w, lp_settings & settings);
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void apply_from_left_to_T(indexed_vector<T> & w, lp_settings & settings) {
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apply_from_left_local_to_T(w, settings);
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}
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void push_back(unsigned row_index, T val ) {
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lean_assert(row_index != m_row);
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m_row_vector.push_back(row_index, val);
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}
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void apply_from_right(vector<T> & w);
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void apply_from_right(indexed_vector<T> & w);
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void conjugate_by_permutation(permutation_matrix<T, X> & p);
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#ifdef LEAN_DEBUG
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T get_elem(unsigned row, unsigned col) const;
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unsigned row_count() const { return m_dimension; }
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unsigned column_count() const { return m_dimension; }
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void set_number_of_rows(unsigned m) { m_dimension = m; }
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void set_number_of_columns(unsigned n) { m_dimension = n; }
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#endif
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}; // end of row_eta_matrix
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}
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