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Austin Schuh70cc9552019-01-21 19:46:48 -08001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2015 Google Inc. All rights reserved.
3// http://ceres-solver.org/
4//
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6// modification, are permitted provided that the following conditions are met:
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9// this list of conditions and the following disclaimer.
10// * Redistributions in binary form must reproduce the above copyright notice,
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16//
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29// Author: sameeragarwal@google.com (Sameer Agarwal)
30
31#ifndef CERES_PUBLIC_CRS_MATRIX_H_
32#define CERES_PUBLIC_CRS_MATRIX_H_
33
34#include <vector>
35#include "ceres/internal/port.h"
36#include "ceres/internal/disable_warnings.h"
37
38namespace ceres {
39
40// A compressed row sparse matrix used primarily for communicating the
41// Jacobian matrix to the user.
42struct CERES_EXPORT CRSMatrix {
43 CRSMatrix() : num_rows(0), num_cols(0) {}
44
45 int num_rows;
46 int num_cols;
47
48 // A compressed row matrix stores its contents in three arrays,
49 // rows, cols and values.
50 //
51 // rows is a num_rows + 1 sized array that points into the cols and
52 // values array. For each row i:
53 //
54 // cols[rows[i]] ... cols[rows[i + 1] - 1] are the indices of the
55 // non-zero columns of row i.
56 //
57 // values[rows[i]] .. values[rows[i + 1] - 1] are the values of the
58 // corresponding entries.
59 //
60 // cols and values contain as many entries as there are non-zeros in
61 // the matrix.
62 //
63 // e.g, consider the 3x4 sparse matrix
64 //
65 // [ 0 10 0 4 ]
66 // [ 0 2 -3 2 ]
67 // [ 1 2 0 0 ]
68 //
69 // The three arrays will be:
70 //
71 //
72 // -row0- ---row1--- -row2-
73 // rows = [ 0, 2, 5, 7]
74 // cols = [ 1, 3, 1, 2, 3, 0, 1]
75 // values = [10, 4, 2, -3, 2, 1, 2]
76
77 std::vector<int> cols;
78 std::vector<int> rows;
79 std::vector<double> values;
80};
81
82} // namespace ceres
83
84#include "ceres/internal/reenable_warnings.h"
85
86#endif // CERES_PUBLIC_CRS_MATRIX_H_