Skip to content
This repository has been archived by the owner on Mar 22, 2023. It is now read-only.
Permalink
master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Go to file
 
 
Cannot retrieve contributors at this time
//
// Copyright (C) 2016-17 by the lazyten authors
//
// This file is part of lazyten.
//
// lazyten is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published
// by the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// lazyten is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with lazyten. If not, see <http://www.gnu.org/licenses/>.
//
#pragma once
#include <initializer_list>
#include <krims/GenMap.hh>
#include <lazyten/Constants.hh>
#include <lazyten/LazyMatrix_i.hh>
#include <lazyten/SmallVector.hh>
using namespace lazyten;
/** Matrix to represent a diagonal matrix by a vector.
*
* The vector can be changed via the update() function */
template <typename StoredMatrix>
class DiagonalUpdatable : public LazyMatrix_i<StoredMatrix> {
public:
typedef LazyMatrix_i<StoredMatrix> base_type;
typedef typename base_type::stored_matrix_type stored_matrix_type;
typedef typename base_type::size_type size_type;
typedef typename base_type::scalar_type scalar_type;
typedef typename base_type::lazy_matrix_expression_ptr_type
lazy_matrix_expression_ptr_type;
/** Construct form diagonal vector */
DiagonalUpdatable(SmallVector<scalar_type> diagonal) : m_diagonal(diagonal) {}
/** Construct from initialiser list giving the diagonal */
DiagonalUpdatable(std::initializer_list<scalar_type> diagonal)
: m_diagonal(diagonal.size(), 1) {
size_t i = 0;
for (auto it = std::begin(diagonal); it != std::end(diagonal); ++it, ++i) {
m_diagonal(i, 0) = *it;
}
}
/** Number of rows */
size_type n_rows() const override { return m_diagonal.size(); }
/** Number of colums */
size_type n_cols() const override { return m_diagonal.size(); }
/** Element access */
scalar_type operator()(size_type row, size_type col) const override {
if (row == col) return m_diagonal[row];
return Constants<scalar_type>::zero;
}
/** Clone function */
lazy_matrix_expression_ptr_type clone() const override {
// return a copy enwrapped in the pointer type
return lazy_matrix_expression_ptr_type(new DiagonalUpdatable(*this));
}
/** \brief Provide an update mechanism */
void update(const krims::GenMap& m) override {
const auto& diagonal = m.at<SmallVector<scalar_type>>("diagonal");
// check that we have no size changes
assert_size(diagonal.size(), m_diagonal.size());
// assign:
m_diagonal = diagonal;
}
// Note: One could override apply, mmult and extract_block for better
// performance in those matrix operations, but this is not required
// to get the basic functionality going.
private:
// A n_rows times 1 vector of diagonal shifts
SmallVector<scalar_type> m_diagonal;
};