merge LRA

Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>

src/util/lp/eta_matrix.h

@@ -0,0 +1,83 @@
+/*
+  Copyright (c) 2017 Microsoft Corporation
+  Author: Lev Nachmanson
+*/
+
+#pragma once
+#include "util/vector.h"
+#include "util/lp/tail_matrix.h"
+#include "util/lp/permutation_matrix.h"
+namespace lean {
+
+// This is the sum of a unit matrix and a one-column matrix
+template <typename T, typename X>
+class eta_matrix
+    : public tail_matrix<T, X> {
+#ifdef LEAN_DEBUG
+    unsigned m_length;
+#endif
+    unsigned m_column_index;
+public:
+    sparse_vector<T> m_column_vector;
+    T m_diagonal_element;
+#ifdef LEAN_DEBUG
+    eta_matrix(unsigned column_index, unsigned length):
+#else
+        eta_matrix(unsigned column_index):
+#endif
+
+#ifdef LEAN_DEBUG
+        m_length(length),
+#endif
+        m_column_index(column_index) {}
+
+    bool is_dense() const { return false; }
+
+    void print(std::ostream & out) {
+        print_matrix(*this, out);
+    }
+
+    bool is_unit() {
+        return m_column_vector.size() == 0 && m_diagonal_element == 1;
+    }
+
+    bool set_diagonal_element(T const & diagonal_element) {
+        m_diagonal_element = diagonal_element;
+        return !lp_settings::is_eps_small_general(diagonal_element, 1e-12);
+    }
+
+    const T & get_diagonal_element() const {
+        return m_diagonal_element;
+    }
+
+    void apply_from_left(vector<X> & w, lp_settings & );
+
+    template <typename L>
+    void apply_from_left_local(indexed_vector<L> & w, lp_settings & settings);
+
+    void apply_from_left_to_T(indexed_vector<T> & w, lp_settings & settings) {
+        apply_from_left_local(w, settings);
+    }
+
+
+    void push_back(unsigned row_index, T val ) {
+        lean_assert(row_index != m_column_index);
+        m_column_vector.push_back(row_index, val);
+    }
+
+    void apply_from_right(vector<T> & w);
+    void apply_from_right(indexed_vector<T> & w);
+
+    T get_elem(unsigned i, unsigned j) const;
+#ifdef LEAN_DEBUG
+    unsigned row_count() const { return m_length; }
+    unsigned column_count() const { return m_length; }
+    void set_number_of_rows(unsigned m) { m_length = m; }
+    void set_number_of_columns(unsigned n) { m_length = n; }
+#endif
+    void divide_by_diagonal_element() {
+        m_column_vector.divide(m_diagonal_element);
+    }
+    void conjugate_by_permutation(permutation_matrix<T, X> & p);
+};
+}