summaryrefslogtreecommitdiffstatshomepage
path: root/src/lib/netlist/solver/nld_ms_gmres.h
blob: 6d9e7929fe3ec7a6461f5bf786cbd505bd5d2719 (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
// license:GPL-2.0+
// copyright-holders:Couriersud
/*
 * nld_ms_gmres.h
 *
 */

#ifndef NLD_MS_GMRES_H_
#define NLD_MS_GMRES_H_

#include "nld_ms_direct.h"
#include "nld_solver.h"
#include "plib/gmres.h"
#include "plib/mat_cr.h"
#include "plib/parray.h"
#include "plib/vector_ops.h"

#include <algorithm>
#include <cmath>


namespace netlist
{
namespace solver
{

	template <typename FT, int SIZE>
	class matrix_solver_GMRES_t: public matrix_solver_direct_t<FT, SIZE>
	{
	public:

		using float_type = FT;

		/* Sort rows in ascending order. This should minimize fill-in and thus
		 * maximize the efficiency of the incomplete LUT.
		 * This is already preconditioning.
		 */
		matrix_solver_GMRES_t(netlist_state_t &anetlist, const pstring &name,
			analog_net_t::list_t &nets,
			const solver_parameters_t *params,
			const std::size_t size)
			: matrix_solver_direct_t<FT, SIZE>(anetlist, name, nets, params, size)
			, m_ops(size, 0)
			, m_gmres(size)
			{
			const std::size_t iN = this->size();

			std::vector<std::vector<unsigned>> fill(iN);

			for (std::size_t k=0; k<iN; k++)
			{
				fill[k].resize(iN, decltype(m_ops.m_mat)::FILL_INFINITY);
				terms_for_net_t & row = this->m_terms[k];
				for (const auto &nz_j : row.m_nz)
				{
					fill[k][static_cast<mattype>(nz_j)] = 0;
				}
			}

			m_ops.build(fill);
			this->log_fill(fill, m_ops.m_mat);

			/* build pointers into the compressed row format matrix for each terminal */

			for (std::size_t k=0; k<iN; k++)
			{
				std::size_t cnt = 0;
				for (std::size_t j=0; j< this->m_terms[k].railstart();j++)
				{
					for (std::size_t i = m_ops.m_mat.row_idx[k]; i<m_ops.m_mat.row_idx[k+1]; i++)
						if (this->m_terms[k].m_connected_net_idx[j] == static_cast<int>(m_ops.m_mat.col_idx[i]))
						{
							this->m_mat_ptr[k][j] = &m_ops.m_mat.A[i];
							cnt++;
							break;
						}
				}
				nl_assert(cnt == this->m_terms[k].railstart());
				this->m_mat_ptr[k][this->m_terms[k].railstart()] = &m_ops.m_mat.A[m_ops.m_mat.diag[k]];
			}
		}

		unsigned vsolve_non_dynamic(const bool newton_raphson) override;

	private:

		using mattype = typename plib::pmatrix_cr_t<FT, SIZE>::index_type;

		//plib::mat_precondition_none<FT, SIZE> m_ops;
		plib::mat_precondition_ILU<FT, SIZE> m_ops;
		//plib::mat_precondition_diag<FT, SIZE> m_ops;
		plib::gmres_t<FT, SIZE> m_gmres;
	};

	// ----------------------------------------------------------------------------------------
	// matrix_solver - GMRES
	// ----------------------------------------------------------------------------------------

	template <typename FT, int SIZE>
	unsigned matrix_solver_GMRES_t<FT, SIZE>::vsolve_non_dynamic(const bool newton_raphson)
	{
		const std::size_t iN = this->size();

		plib::parray<FT, SIZE> RHS(iN);

		m_ops.m_mat.set_scalar(plib::constants<FT>::zero());

		/* populate matrix and V for first estimate */
		this->fill_matrix(RHS);

		for (std::size_t k = 0; k < iN; k++)
		{
			this->m_new_V[k] = this->m_terms[k].template getV<float_type>();
		}

		const float_type accuracy = static_cast<float_type>(this->m_params.m_accuracy);

		auto iter = std::max(plib::constants<std::size_t>::one(), this->m_params.m_gs_loops());
		auto gsl = m_gmres.solve(m_ops, this->m_new_V, RHS, iter, accuracy);

		this->m_iterative_total += gsl;
		this->m_stat_calculations++;

		if (gsl > iter)
		{
			this->m_iterative_fail++;
			return matrix_solver_direct_t<FT, SIZE>::vsolve_non_dynamic(newton_raphson);
		}

		const float_type err = (newton_raphson ? this->delta(this->m_new_V) : plib::constants<FT>::zero());
		this->store(this->m_new_V);
		return (err > static_cast<float_type>(this->m_params.m_accuracy)) ? 2 : 1;
	}




} // namespace solver
} // namespace netlist

#endif /* NLD_MS_GMRES_H_ */