1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2015 Google Inc. All rights reserved.
3 // http://ceres-solver.org/
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28 //
29 // Author: sameeragarwal@google.com (Sameer Agarwal)
30 //         keir@google.com (Keir Mierle)
31 //
32 // Purpose : Class and struct definitions for parameter and residual blocks.
33 
34 #ifndef CERES_INTERNAL_RESIDUAL_BLOCK_H_
35 #define CERES_INTERNAL_RESIDUAL_BLOCK_H_
36 
37 #include <cstdint>
38 #include <memory>
39 #include <string>
40 #include <vector>
41 
42 #include "ceres/cost_function.h"
43 #include "ceres/internal/port.h"
44 #include "ceres/stringprintf.h"
45 #include "ceres/types.h"
46 
47 namespace ceres {
48 
49 class LossFunction;
50 
51 namespace internal {
52 
53 class ParameterBlock;
54 
55 // A term in the least squares problem. The mathematical form of each term in
56 // the overall least-squares cost function is:
57 //
58 //    1
59 //   --- loss_function( || cost_function(block1, block2, ...) ||^2  ),
60 //    2
61 //
62 // Storing the cost function and the loss function separately permits optimizing
63 // the problem with standard non-linear least techniques, without requiring a
64 // more general non-linear solver.
65 //
66 // The residual block stores pointers to but does not own the cost functions,
67 // loss functions, and parameter blocks.
68 class CERES_EXPORT_INTERNAL ResidualBlock {
69  public:
70   // Construct the residual block with the given cost/loss functions. Loss may
71   // be null. The index is the index of the residual block in the Program's
72   // residual_blocks array.
73   ResidualBlock(const CostFunction* cost_function,
74                 const LossFunction* loss_function,
75                 const std::vector<ParameterBlock*>& parameter_blocks,
76                 int index);
77 
78   // Evaluates the residual term, storing the scalar cost in *cost, the residual
79   // components in *residuals, and the jacobians between the parameters and
80   // residuals in jacobians[i], in row-major order. If residuals is NULL, the
81   // residuals are not computed. If jacobians is NULL, no jacobians are
82   // computed. If jacobians[i] is NULL, then the jacobian for that parameter is
83   // not computed.
84   //
85   // cost must not be null.
86   //
87   // Evaluate needs scratch space which must be supplied by the caller via
88   // scratch. The array should have at least NumScratchDoublesForEvaluate()
89   // space available.
90   //
91   // The return value indicates the success or failure. If the function returns
92   // false, the caller should expect the output memory locations to have
93   // been modified.
94   //
95   // The returned cost and jacobians have had robustification and local
96   // parameterizations applied already; for example, the jacobian for a
97   // 4-dimensional quaternion parameter using the "QuaternionParameterization"
98   // is num_residuals by 3 instead of num_residuals by 4.
99   //
100   // apply_loss_function as the name implies allows the user to switch
101   // the application of the loss function on and off.
102   bool Evaluate(bool apply_loss_function,
103                 double* cost,
104                 double* residuals,
105                 double** jacobians,
106                 double* scratch) const;
107 
cost_function()108   const CostFunction* cost_function() const { return cost_function_; }
loss_function()109   const LossFunction* loss_function() const { return loss_function_; }
110 
111   // Access the parameter blocks for this residual. The array has size
112   // NumParameterBlocks().
parameter_blocks()113   ParameterBlock* const* parameter_blocks() const {
114     return parameter_blocks_.get();
115   }
116 
117   // Number of variable blocks that this residual term depends on.
NumParameterBlocks()118   int NumParameterBlocks() const {
119     return cost_function_->parameter_block_sizes().size();
120   }
121 
122   // The size of the residual vector returned by this residual function.
NumResiduals()123   int NumResiduals() const { return cost_function_->num_residuals(); }
124 
125   // The minimum amount of scratch space needed to pass to Evaluate().
126   int NumScratchDoublesForEvaluate() const;
127 
128   // This residual block's index in an array.
index()129   int index() const { return index_; }
set_index(int index)130   void set_index(int index) { index_ = index; }
131 
ToString()132   std::string ToString() const {
133     return StringPrintf("{residual block; index=%d}", index_);
134   }
135 
136  private:
137   const CostFunction* cost_function_;
138   const LossFunction* loss_function_;
139   std::unique_ptr<ParameterBlock*[]> parameter_blocks_;
140 
141   // The index of the residual, typically in a Program. This is only to permit
142   // switching from a ResidualBlock* to an index in the Program's array, needed
143   // to do efficient removals.
144   int32_t index_;
145 };
146 
147 }  // namespace internal
148 }  // namespace ceres
149 
150 #endif  // CERES_INTERNAL_RESIDUAL_BLOCK_H_
151