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Angus Kong0ae28bd2013-02-13 14:56:04 -08001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3// http://code.google.com/p/ceres-solver/
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28//
29// Author: keir@google.com (Keir Mierle)
30//
31// A jacobian writer that writes to block sparse matrices. The "writer" name is
32// misleading, since the Write() operation on the block jacobian writer does not
33// write anything. Instead, the Prepare() method on the BlockEvaluatePreparers
34// makes a jacobians array which has direct pointers into the block sparse
35// jacobian. When the cost function is evaluated, the jacobian blocks get placed
36// directly in their final location.
37
38#ifndef CERES_INTERNAL_BLOCK_JACOBIAN_WRITER_H_
39#define CERES_INTERNAL_BLOCK_JACOBIAN_WRITER_H_
40
41#include <vector>
42#include "ceres/evaluator.h"
43#include "ceres/internal/port.h"
44
45namespace ceres {
46namespace internal {
47
48class BlockEvaluatePreparer;
49class Program;
50class SparseMatrix;
51
52class BlockJacobianWriter {
53 public:
54 BlockJacobianWriter(const Evaluator::Options& options,
55 Program* program);
56
57 // JacobianWriter interface.
58
59 // Create evaluate prepareres that point directly into the final jacobian.
60 // This makes the final Write() a nop.
61 BlockEvaluatePreparer* CreateEvaluatePreparers(int num_threads);
62
63 SparseMatrix* CreateJacobian() const;
64
65 void Write(int /* residual_id */,
66 int /* residual_offset */,
67 double** /* jacobians */,
68 SparseMatrix* /* jacobian */) {
69 // This is a noop since the blocks were written directly into their final
70 // position by the outside evaluate call, thanks to the jacobians array
71 // prepared by the BlockEvaluatePreparers.
72 }
73
74 private:
75 Program* program_;
76
77 // Stores the position of each residual / parameter jacobian.
78 //
79 // The block sparse matrix that this writer writes to is stored as a set of
80 // contiguos dense blocks, one after each other; see BlockSparseMatrix. The
81 // "double* values_" member of the block sparse matrix contains all of these
82 // blocks. Given a pointer to the first element of a block and the size of
83 // that block, it's possible to write to it.
84 //
85 // In the case of a block sparse jacobian, the jacobian writer needs a way to
86 // find the offset in the values_ array of each residual/parameter jacobian
87 // block.
88 //
89 // That is the purpose of jacobian_layout_.
90 //
91 // In particular, jacobian_layout_[i][j] is the offset in the values_ array of
92 // the derivative of residual block i with respect to the parameter block at
93 // active argument position j.
94 //
95 // The active qualifier means that non-active parameters do not count. Care
96 // must be taken when indexing into jacobian_layout_ to account for this.
97 // Consider a single residual example:
98 //
99 // r(x, y, z)
100 //
101 // with r in R^3, x in R^4, y in R^2, and z in R^5.
102 // Take y as a constant (non-active) parameter.
103 // Take r as residual number 0.
104 //
105 // In this case, the active arguments are only (x, z), so the active argument
106 // position for x is 0, and the active argument position for z is 1. This is
107 // similar to thinking of r as taking only 2 parameters:
108 //
109 // r(x, z)
110 //
111 // There are only 2 jacobian blocks: dr/dx and dr/dz. jacobian_layout_ would
112 // have the following contents:
113 //
114 // jacobian_layout_[0] = { 0, 12 }
115 //
116 // which indicates that dr/dx is located at values_[0], and dr/dz is at
117 // values_[12]. See BlockEvaluatePreparer::Prepare()'s comments about 'j'.
118 vector<int*> jacobian_layout_;
119
120 // The pointers in jacobian_layout_ point directly into this vector.
121 vector<int> jacobian_layout_storage_;
122};
123
124} // namespace internal
125} // namespace ceres
126
127#endif // CERES_INTERNAL_BLOCK_JACOBIAN_WRITER_H_